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SUMMARY:"Career Success Resources" for UTC Transfer/Continuing Students
DESCRIPTION:Come and find out ALL that Career Success has to offer to UCSC students – every resources is FREE for you!  Resume/Cover Letter feedback\, Career Coaching Appointments\, Graduate School Preparation\, Interviewing Skills\, Networking Opportunities\, Career Fairs\, Professional Development Workshops and MORE! \nAll students are welcome. The presentation will last 30 minutes\, followed by a 15-minute Q&A. \nWe will provide captions for the presentation. If you have disability-related needs\, please contact the Career Success office at csuccess@ucsc.edu or (831) 459-4420 as soon as possible. \n  \nYOU BELONG HERE\nPrograms and services are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. To learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications.
URL:https://events.ucsc.edu/event/career-success-resources-for-utc-transfer-continuing-students/
LOCATION:CA
CATEGORIES:Exhibits,Seminars,Workshop
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DTSTART;TZID=America/Los_Angeles:20260302T104000
DTEND;TZID=America/Los_Angeles:20260302T114500
DTSTAMP:20260417T205132
CREATED:20260224T232851Z
LAST-MODIFIED:20260224T232851Z
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SUMMARY:ECE 290 Seminar: Precision Nuclear Medicine: Engineering Solutions from Acquisition to Analysis
DESCRIPTION:Presenter: Spencer L. Bowen\, Assistant Professor in the Departments of Radiology and Biomedical Engineering\, UT Southwestern Medical Center \nDescription: The Bowen Lab focuses on the development of tools for positron emission tomography (PET) and hybrid systems (e.g. PET/CT)\, to advance precision imaging for the care and study of oncology\, neurology\, and cardiology patients. Quantitative metrics from PET are integral to both patient workup and clinical research. However\, current approaches to enable quantitative imaging have substantial performance limitations that can compromise study conclusions\, fail to generalize across exams and scanners\, expose patients to additional ionizing radiation\, or necessitate invasive procedures. To address these key barriers\, Dr. Bowen and his team investigate advanced acquisition techniques\, image reconstruction algorithms\, and post-processing methods. Their studies span from digital simulations to human subjects research. This lecture will cover recent developments by the Bowen Lab\, including 1) advanced PET data correction methods for low-dose and standalone exams\, 2) non-invasive fully quantitative imaging\, and 3) leveraging topical sensors to detect faulty radiotracer injections. \nBio: Spencer L. Bowen\, Ph.D.\, is an Assistant Professor in the Departments of Radiology and Biomedical Engineering at UT Southwestern Medical Center. He earned his doctorate in biomedical engineering from University of California\, Davis\, where he developed hardware and algorithmic solutions to enable quantification with a breast PET/CT scanner. Dr. Bowen then worked as a research fellow at Massachusetts General Hospital on precision PET imaging methods for combined PET/MR. Prior to joining the UT Southwestern faculty in 2020\, he served as a research assistant professor at the Fralin Biomedical Research Institute at Virginia Tech-Carilion. Dr. Bowen’s research program is funded by both industry and the NIH. His work has been featured on the cover of the Journal of Nuclear Medicine and detailed by the press. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom Link: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-precision-nuclear-medicine-engineering-solutions-from-acquisition-to-analysis/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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SUMMARY:CM Seminar - "From Sibelius to Game: Crafting Adaptive Music for 'Kingdom Come: Deliverance'"
DESCRIPTION:Presented by: Adam Sporka \nDescription: “This talk explores the technical and creative processes behind the music of Kingdom Come: Deliverance II\, where I served as a music programmer\, and soundtrack contributor. Using our proprietary Sequence Music Engine and music logic module\, we authentically scored the game’s 1400s Bohemia setting with segment-based adaptive music driven by in-game variables. Our workflow centers around the notation program Sibelius and our custom tool Converdi\, which streamlines the production by converting the score symbols to preliminary MIDI streams per individual VSTs and by extracting the precise timing data necessary for the segment transitions. This enabled us to spend more time on the creative aspects of music and less time on production and implementation.” \nThe key takeaways from the talk are as follows: \n* Production should start with a complete score\, and not just the MIDI exports therefrom\n* Custom automation tools can streamline the music creation workflow and reduce the production time\n* Resequencing is more suitable for classical and medievalesque music than layering\n* Rapid music prototyping allows for early testing of adaptive music directly in the game \nBio: Adam Sporka is a software developer by trade\, a musician by domain\, and a scientist by approach. As a researcher\, developer\, and educator in game audio\, he places a special focus on interactive music. He has served as the technical music director for Kingdom Come: Deliverance II (Warhorse Studios) and is the author of the Sequence Music Engine\, a proprietary adaptive music middleware used in both games. As a composer\, he contributed to the soundtrack of both Kingdom Come: Deliverance games\, writing some of the most memorable medievalesque and early renaissance pieces on the soundtrack. Currently\, he teaches game audio at the University of California\, Santa Cruz. He received his Ph.D. and habilitation in human-computer interaction from the Czech Technical University (Czech Republic) and was a postdoctoral researcher at the University of Trento (Italy). He has published more than 50 articles in the proceedings of international conferences and academic journals. Adam is currently appointed as a principal engineer at Embody\, a Sunnyvale-based game audio software company focused on the commercial applications of the head-related transfer function. \nHosted by: Professor Christina Chung \nWhen: March 2\, 2026 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @  SVC 3212. \nViewing room @ UCSC Main Campus\, E2-280. \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info: \nhttps://ucsc.zoom.us/j/98763397019?pwd=XUG5pnMjgFgCEOlpunV41oRjNMZiO6.1 \nMeeting ID: 987 6339 7019\nPasscode: 273556
URL:https://events.ucsc.edu/event/cm-seminar-from-sibelius-to-game-crafting-adaptive-music-for-kingdom-come-deliverance/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20260302T160000
DTEND;TZID=America/Los_Angeles:20260302T170000
DTSTAMP:20260417T205132
CREATED:20260202T195322Z
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SUMMARY:Statistics Seminar: Decoding Phytoplankton Responses to a Changing Ocean
DESCRIPTION:Presenter: Francois Ribalet\, Research Associate Professor\, School of Oceanography\, University of Washington \nDescription: François Ribalet will present new observational technologies and computational approaches for studying phytoplankton responses to ocean warming. Using SeaFlow\, a custom-built automated flow cytometer deployed on over 100 research cruises\, his team has collected nearly 850 billion cell measurements across global oceans. Matrix population models applied to these data reveal how temperature affects phytoplankton division rates and biomass. The research shows that Prochlorococcus\, the ocean’s most abundant photosynthetic organism\, experiences sharp declines in growth above 28°C. Climate projections incorporating these metabolic constraints predict a 40-60% decrease in Prochlorococcus production in tropical regions by 2100\, with Synechococcus partially compensating through a 20-40% increase. These shifts between dominant phytoplankton groups will likely disrupt ocean food webs and carbon cycling\, raising questions about whether tropical ecosystems can adapt to warming oceans. \n\n\n\n\n\n\n\n\n\nBio: François Ribalet is a research associate professor at the University of Washington studying phytoplankton and their role in ocean food webs and carbon cycling. He combines field observations with statistical models to understand how environmental changes affect the growth and community dynamics of these microscopic organisms. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-decoding-phytoplankton-responses-to-a-changing-ocean/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260302T160000
DTEND;TZID=America/Los_Angeles:20260302T170000
DTSTAMP:20260417T205132
CREATED:20260225T181221Z
LAST-MODIFIED:20260225T181221Z
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SUMMARY:AM Seminar: The Evolving Landscape of AI for Science and Engineering: Bridging Simulation\, Experiment\, and Multi-scale Dynamics
DESCRIPTION:Presenter: Aditi Krishnapriyan\, Assistant Professor\, UC Berkeley \nDescription: Recent advances in large-scale scientific datasets are creating new opportunities for machine learning (ML) methods to more effectively capture scientific phenomena with greater accuracy and reach. In this talk\, I will discuss how these advances are both shifting ML design paradigms and enabling new scientific inquiries. This includes investigations into understanding if neural networks can autonomously discover fundamental physical relationships from data\, and demonstrating how more flexible machine learning modeling design choices enable capturing physical dynamics across multiple scales. I will also explore how generative modeling approaches rooted in statistical physics can be applied to accelerate the sampling of dynamic pathways\, and as a framework to align and bridge the gap between simulated data and experimental observations. \nBio: Aditi Krishnapriyan is an Assistant Professor at UC Berkeley where she is part of Chemical and Biomolecular Engineering\, Electrical Engineering and Computer Sciences\, and Berkeley AI Research; as well as a faculty scientist in the Applied Mathematics division at Lawrence Berkeley National Laboratory. She holds a PhD from Stanford University\, supported by the DOE Computational Science Graduate Fellowship\, was the Luis W. Alvarez Fellow in Computing Sciences at Lawrence Berkeley National Laboratory\, and is a recipient of the Department of Energy Early Career Award and RCSA Scialog. Her research focuses on developing physics-inspired machine learning methods that bridge machine learning with physical science applications to capture phenomena across multiple length and timescales. \nHosted by: Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-the-evolving-landscape-of-ai-for-science-and-engineering-bridging-simulation-experiment-and-multi-scale-dynamics/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260304T110000
DTEND;TZID=America/Los_Angeles:20260304T121500
DTSTAMP:20260417T205132
CREATED:20260217T182353Z
LAST-MODIFIED:20260217T182353Z
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SUMMARY:CSE Colloquium - Improving Efficiency and Reliability of Foundation Models in Clinical AI
DESCRIPTION:Presenter: Vasiliki “Vicky” Bikia\, PhD\, Stanford Department of Biomedical Data Science and Institute for Human-Centered AI (HAI) \nAbstract: \nDeploying foundation models in health requires both computational efficiency and reliable generation. In this talk\, I present two studies that address these dimensions separately but with a shared goal of real-world clinical deployment. The first study focuses on reduced-resolution distillation for multimodal clinical data\, particularly medical imaging. As model and input sizes increase\, inference cost and memory constraints become major barriers to deployment. We investigate how high-capacity teacher models can transfer structured knowledge to compact student models trained on downsampled images\, using embedding-space supervision to preserve clinically meaningful representations while reducing computational footprint. The second study examines the reliability of AI-generated clinical text. Foundation models are increasingly used to produce discharge summaries and patient-facing explanations\, yet fluency does not guarantee safety. We develop a structured evaluation framework grounded in clinical error taxonomies and clinician-calibrated metrics to quantify hallucinations\, omissions\, and semantic misalignment. Together\, these studies emphasize that scalable clinical AI requires not only smaller and faster models\, but also rigorous evaluation of generative reliability before deployment. \nBio: \nVasiliki Bikia is a Postdoctoral Researcher at Stanford University\, affiliated with the Department of Biomedical Data Science and the Stanford Institute for Human-Centered Artificial Intelligence (HAI). She received an Advanced Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki\, and a Ph.D. in Bioengineering from the Swiss Federal Institute of Technology in Lausanne (EPFL). Her research focuses on medical foundation models\, structured representations of health data\, and the evaluation of generative systems in clinical settings. Previously\, she was a Machine Learning Scientist at the Mussallem Center for Biodesign at Stanford University\, where she developed software pipelines to improve data accessibility and interoperability in digital health applications. Vasiliki was selected as an MIT Rising Star in EECS (2025) and as an Emerson Consequential Scholar (2025)\, and is actively engaged with the Silicon Valley entrepreneurial ecosystem through collaborations at the intersection of research\, industry\, and healthcare. She is an organizing member of the Conference on Health\, Inference\, and Learning (CHIL) and serves as Unconference Chair for the 2025 and 2026 editions\, where she leads the design and execution of the entrepreneurship-focused track bridging academic research and real-world deployment. Her work has appeared in venues including IEEE journals\, npj Digital Medicine\, Nature Communications\, and leading AI conferences\, and she has contributed to multiple funded research proposals and clinical studies at the intersection of AI\, medicine\, and translational impact. \nHosted by: Professor Nikos Tziavelis \nLocation: Engineering 2\, E2-180 (*Refreshments such as coffee\, tea\, fresh fruit\, and pastries will be provided) \nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-improving-efficiency-and-reliability-of-foundation-models-in-clinical-ai/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260305T114000
DTEND;TZID=America/Los_Angeles:20260305T131500
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CREATED:20260223T183015Z
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SUMMARY:BME 280B Seminar: Artificial intelligence systems to advance engineered T cell immunotherapy designs
DESCRIPTION:Presenter: Zinaida Good\, Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Division of Computational Medicine\, Stanford University \nDescription: T cell immunotherapies have reshaped the treatment landscape for hematologic malignancies and are rapidly extending to solid tumors\, autoimmune diseases\, and transplant tolerance. Yet durable benefit remains inconsistent\, and toxicities remain clinically significant. The current discovery proceeds one edit at a time\, and existing preclinical models do not represent patient biology\, which often results in failure upon clinical translation. Overcoming these challenges to improve patient outcomes and reduce toxicities requires a systems-level understanding of the multiscale factors governing T cell function and toxicity in patients. Artificial intelligence (AI) approaches offer an exciting opportunity to tackle this problem by learning unified representations from diverse data types spanning molecular\, cellular\, and clinical modalities. I will provide an overview on our team’s approaches building AI systems that harness primary patient datasets to directly inform advanced T cell designs optimized for clinical outcomes\, with validation in preclinical models. \nBio: Zinaida Good\, Ph.D.\, is an Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Division of Computational Medicine at Stanford University. She also serves as the Director of the Stanford Center for Cancer Cell Therapy Data Hub. The goal of her research program is to understand and enhance engineered T cell immunotherapies for cancer and immune-mediated diseases through innovative computational approaches and systems immunology. Her lab leverages innovation in machine learning and clinical multiomic datasets to build artificial intelligence systems for advanced T cell therapy design. Dr. Good earned her Ph.D. in Computational & Systems Immunology from Stanford University. Her work includes 4 first-author papers (Nature Medicine 2018 & 2022\, Nature Biotechnology 2019\, Trends in Immunology 2019)\, 18+ co-authored papers (including Nature 2019\, 2022\, 2024\, Science 2021\, Nature Methods 2016\, 2022\, and NEJM 2024)\, and an initial senior author papers (ICML 2025\, NeurIPS 2025\, Frontiers in Immunology 2025). Her research is supported by the NIH/NCI Pathway to Independence Award\, NIH/OD Multimodal AI Initiative Award\, NIH/NCI Program Project Grant\, and the Weill Cancer Hub West. Dr. Good has been named an Arthur & Sandra Irving Cancer Immunology Fellow in 2022\, Parker Bridge Fellow in 2023\, and an AACR-Woman in Cancer Research Scholar in 2024. \nHosted by: Professor Vanessa Jonsson\, BMEbe Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-artificial-intelligence-systems-to-advance-engineered-t-cell-immunotherapy-designs/
LOCATION:Biomedical Sciences\, Biomedical Sciences Building Red Hill Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260309T080000
DTEND;TZID=America/Los_Angeles:20260309T170000
DTSTAMP:20260417T205132
CREATED:20260225T190019Z
LAST-MODIFIED:20260225T190019Z
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SUMMARY:Statistics Seminar: Evaluating Predictive Algorithms Under Missing Data
DESCRIPTION:Presenter: Amanda Coston\, Assistant Professor\, University of California Berkeley \nDescription: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. Yet\, in many real-world domains\, evaluation is fundamentally difficult: the data available for assessment are often biased\, incomplete\, or noisy\, and the act of deploying a model can itself alter which outcomes are observed. As a result\, standard evaluation practices may substantially misrepresent both overall model performance and disparities across groups. In this talk\, we examine several common threats to valid evaluation—including measurement error\, selection bias\, and distribution shift—and present principled evaluation methods that enable valid performance assessment under these challenges when appropriate conditions are met. \nBio: From UC Berkeley website: Amanda Coston is an assistant professor of statistics at UC Berkeley. Her research addresses real-world data problems that challenge the validity\, reliability\, and equity of algorithmic decision support systems and data-driven policy-making. Her work draws on techniques from causal inference\, machine learning\, and nonparametric statistics. She earned her PhD in machine learning and public policy at Carnegie Mellon University and subsequently completed a postdoc at Microsoft Research on the Machine Learning and Statistics Team. She also holds a Bachelor of Science in Engineering from Princeton in computer science and a certificate in the Princeton School of Public and International Affairs. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-evaluating-predictive-algorithms-under-missing-data/2026-03-09/1/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/02/BElogoWHITE.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260309T104000
DTEND;TZID=America/Los_Angeles:20260309T114500
DTSTAMP:20260417T205132
CREATED:20260305T230039Z
LAST-MODIFIED:20260305T230039Z
UID:10009404-1773052800-1773056700@events.ucsc.edu
SUMMARY:ECE 290 Seminar: Dynamical Signatures: Harnessing the Hidden Language of In-Space Electric Propulsion
DESCRIPTION:Presenter: Dr. Christine Greve\, Research Engineer\,  Edwards AFB \nDescription: Low-thrust space electric propulsion systems offer long propulsion system lifetimes for satellite maintenance maneuvers. These thrusters operate by generating and accelerating plasmas\, making the thrusters throttleable\, propellant-efficient\, and scalable from low-to-high power operations. This talk will focus on efforts to leverage the underlying time-dependent dynamics of plasma to investigate and influence thruster research and development. Prior years of study have developed techniques to uniquely represent the dynamics of such systems that have since been used to open a new way to test and operate plasma systems. Additional work has investigated the correlations between time-dependent measurements of these dynamics to develop digital twins\, automate test processes with machine learning\, inform design of experiments\, and develop on-orbit system diagnostics. The talk will conclude with a look to the future as these tools are further applied both within the lab and potentially transitioned to on-orbit applications. \nBio: Dr. Christine Greve is a research engineer for the Air Force Research Laboratory at Edwards AFB. She received her Ph.D. in Aerospace Engineering from Texas A&M University under an NDSEG fellowship for her work in data-driven modeling of plasma-based systems. She now serves as the Electric Propulsion group lead with interests in high-power electric propulsion\, machine learning\, data-driven modeling\, and novel plasma diagnostic techniques. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-dynamical-signatures-harnessing-the-hidden-language-of-in-space-electric-propulsion/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260309T160000
DTEND;TZID=America/Los_Angeles:20260309T170000
DTSTAMP:20260417T205132
CREATED:20260217T230434Z
LAST-MODIFIED:20260217T230434Z
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SUMMARY:AM Seminar: Solution Discovery in Fluids with High Precision Using Neural Networks
DESCRIPTION:Presenter: Ching-Yao Lai\, Assistant Professor\, Stanford University \nDescription: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being deemed universal function approximators\, neural networks\, in practice\, struggle to fit functions with sufficient accuracy for rigorous analysis. Here\, we developed multi-stage neural networks (Wang and Lai\, J. Comput. Phys. 2024) that can reduce the prediction error to nearly the machine precision of double-precision floating points within a finite number of iterations. We use accurate NNs to tackle the challenge of searching for singularities in fluid equations (Wang-Lai-Gómez-Serrano-Buckmaster\, Phys. Rev. Lett. 2023). Unstable singularities\, especially in dimensions greater than one\, are exceptionally elusive. With NNs we demonstrate the first discovery of smooth unstable self-similar singularities to unforced incompressible fluid equations (Wang et al.\, arXiv:2509.14185). The example illustrates how deep learning can be used to discover new and highly accurate numerical solutions to PDEs. \nBio: Ching-Yao Lai (Yao) is an Assistant Professor in the Department of Geophysics and an Affiliated Faculty of the Institute for Computational and Mathematical Engineering (ICME) at Stanford. Before joining Stanford\, she was an Assistant Professor at Princeton University. She received an undergraduate degree (2013) in Physics from National Taiwan University and a PhD (2018) in Mechanical and Aerospace Engineering from Princeton University. She completed her postdoctoral research at Columbia University where she received the Lamont Postdoctoral Fellowship. Her current research focuses on enhancing the representation of machine-learning models to tackle multiscale problems. She was the recipient of the 2023 Google Research Scholar Award\, the 2024 Sloan Research Fellowship\, and the 2025 NSF CAREER Award. \nHosted by: Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-solution-discovery-in-fluids-with-high-precision-using-neural-networks/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260309T160000
DTEND;TZID=America/Los_Angeles:20260309T170000
DTSTAMP:20260417T205132
CREATED:20260225T190019Z
LAST-MODIFIED:20260225T190019Z
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SUMMARY:Statistics Seminar: Evaluating Predictive Algorithms Under Missing Data
DESCRIPTION:Presenter: Amanda Coston\, Assistant Professor\, University of California Berkeley \nDescription: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. Yet\, in many real-world domains\, evaluation is fundamentally difficult: the data available for assessment are often biased\, incomplete\, or noisy\, and the act of deploying a model can itself alter which outcomes are observed. As a result\, standard evaluation practices may substantially misrepresent both overall model performance and disparities across groups. In this talk\, we examine several common threats to valid evaluation—including measurement error\, selection bias\, and distribution shift—and present principled evaluation methods that enable valid performance assessment under these challenges when appropriate conditions are met. \nBio: From UC Berkeley website: Amanda Coston is an assistant professor of statistics at UC Berkeley. Her research addresses real-world data problems that challenge the validity\, reliability\, and equity of algorithmic decision support systems and data-driven policy-making. Her work draws on techniques from causal inference\, machine learning\, and nonparametric statistics. She earned her PhD in machine learning and public policy at Carnegie Mellon University and subsequently completed a postdoc at Microsoft Research on the Machine Learning and Statistics Team. She also holds a Bachelor of Science in Engineering from Princeton in computer science and a certificate in the Princeton School of Public and International Affairs. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-evaluating-predictive-algorithms-under-missing-data/2026-03-09/2/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/02/BElogoWHITE.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260311T110000
DTEND;TZID=America/Los_Angeles:20260311T121500
DTSTAMP:20260417T205132
CREATED:20260303T181914Z
LAST-MODIFIED:20260303T181914Z
UID:10009389-1773226800-1773231300@events.ucsc.edu
SUMMARY:CSE Colloquium: Co-Active AI-Assisted Programming
DESCRIPTION:Presenter: Nadia Polikarpova\, UCSD \nAbstract: \nAI-assisted programming has rapidly moved from novelty to default. Today\, most developers use AI coding tools\, and increasingly rely on agentic systems capable of making multi-step design and implementation decisions with minimal human guidance. While these systems boost productivity\, they also introduce new risks: developers may disengage from the reasoning behind generated code\, leading to shallow understanding\, loss of ownership\, and what is increasingly described as cognitive debt. \nIn this talk\, I argue that AI-driven software development must be co-active: humans and AI should remain continuously engaged in a shared process of understanding and decision-making. I will present two complementary research directions toward this goal. The first focuses on observability—helping developers understand\, validate\, and trace the behavior of AI-generated code. The second focuses on controllability—making AI decisions explicit\, persistent\, and steerable. Together\, these ideas restore programmer agency while maintaining the productivity gains of AI-assisted development. \nBio: \nNadia Polikarpova is an associate professor at UC San Diego\, and a member of the Programming Systems group. She received her Ph.D. in Computer Science from ETH Zurich in 2014\, and then spent some time as a postdoctoral researcher at MIT. Nadia’s research interests are at the intersection of programming languages\, AI\, human-computer interaction\, and social computing. \nHosted by: Professor Nikos Tziavelis \nLocation: Engineering 2\, Room E2-180 (*Refreshments such as coffee\, tea\, pastries\, and fresh fruit will be available.) \nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-co-active-ai-assisted-programming/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/02/BElogoWHITE.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260312T114000
DTEND;TZID=America/Los_Angeles:20260312T131500
DTSTAMP:20260417T205132
CREATED:20260303T000204Z
LAST-MODIFIED:20260303T000204Z
UID:10009382-1773315600-1773321300@events.ucsc.edu
SUMMARY:BME 280B Seminar: Modulating Insulin Receptor Through New Ligands
DESCRIPTION:Presenter: Danny Chou\, Associate Professor of Pediatrics\, Stanford University \nDescription: Since its discovery in 1921\, insulin has been at the forefront of scientific breakthroughs. From its amino acid sequencing to the revelation of its three‐dimensional structure\, the progress in insulin research has spurred significant therapeutic breakthroughs. In recent years\, protein engineering has introduced innovative chemical and enzymatic methods for insulin modification\, fostering the development of therapeutics with tailored pharmacological profiles. In this seminar\, I will highlight the use of new ligands to modulate insulin receptors and discuss how they continue to shape the future trajectory of insulin research. \nBio: Danny Chou is an Associate Professor of Pediatrics and by courtesy\, of Chemical & Systems Biology at Stanford University. He is an affinity group leader at Stanford Diabetes Research Center. His research interests lie in the intersection of peptide therapeutics and metabolic diseases. He started his independent career as an assistant professor of biochemistry at University of Utah in 2014. He moved his lab to Stanford University in 2020 and continued their pursuit of using peptide and protein chemistry to develop therapeutics to address unmet needs.  \nHosted by: Professor Andy Yeh\, BME Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-modulating-insulin-receptor-through-new-ligands/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/02/BElogoWHITE.png
GEO:36.9996638;-122.0618552
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Physical Sciences Building Physical Sciences Building Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Physical Sciences Building:geo:-122.0618552,36.9996638
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260330T160000
DTEND;TZID=America/Los_Angeles:20260330T170000
DTSTAMP:20260417T205132
CREATED:20260325T182049Z
LAST-MODIFIED:20260325T182049Z
UID:10011767-1774886400-1774890000@events.ucsc.edu
SUMMARY:AM Seminar:  Flexible Filaments and Swimming Cups: Just Go with the Flow
DESCRIPTION:Presenter: Lisa Fauci\, Professor\, Tulane University \nDescription: The motion of waving or rotating filaments in a fluid environment is a common element in many biological and engineered systems. Examples at the microscale include chains of diatoms moving in the ocean\, flagella of individual cells comprising multicellular colonies\, as well as engineered nanorobots designed to deliver drugs to tumors. In this talk we will present mathematical and computational insights into these flows at the microscale. Our modeling approaches will vary from detailed models that capture flagellar material properties and wave geometry to minimal force-dipole models that represent a flagellum by a single point. We will investigate a few intriguing systems\, including the journey of extremely long insect sperm flagella through tortuous female reproductive tracts\, and the hydrodynamic performance of shape-shifting Choanoeca flexa colonies. \nBio: Lisa Fauci received her PhD from the Courant Institute of Mathematical Sciences at New York University\, and directly after that joined the Department of Mathematics at Tulane University in New Orleans\, Louisiana\, USA. Her research focuses on biological fluid dynamics\, with an emphasis on using modeling and simulation to study the basic biophysics of organismal locomotion and reproductive mechanics. Lisa served as president of the Society for Industrial and Applied Mathematics (SIAM) in 2019-2020. She is a fellow of SIAM\, the American Mathematical Society\, the Association for Women in Mathematics\, and the American Physical Society. In 2023\, she was elected to the US National Academy of Sciences. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-flexible-filaments-and-swimming-cups-just-go-with-the-flow/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/03/BElogoWHITE.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T103000
DTEND;TZID=America/Los_Angeles:20260401T120000
DTSTAMP:20260417T205132
CREATED:20260320T232457Z
LAST-MODIFIED:20260320T232457Z
UID:10011350-1775039400-1775044800@events.ucsc.edu
SUMMARY:FINS: Fisheries Insights Narratives and Stories seminar series featuring Dr. Randi Solhjell
DESCRIPTION:Please join us for the first talk in the FINS: Fisheries Insights Narratives and Stories seminar series featuring Fulbright Fellow Dr. Randi Solhjell. Her talk\, “Managing a Fishy Business: Norway’s foreign aid and its impact on global fisheries governance” will discuss how Norwegian actors shape global fisheries policy through diplomacy\, regulatory innovation and engagement in international institutions such as the UN FAO. She will also discuss how she studies fisheries from a social/political science lens. \nFINS: Fisheries Insights Narratives and Stories Seminar Series \nDr. Randi Solhjell\, Fulbright fellow\, University of Oslo \nTitle: Managing a Fishy Business: Norway’s foreign aid and its impact on global fisheries governance \nWhen: Wednesday\, April 1st from 11am-12pm  \nWhere: Ocean Health Building Rm 118\, 115 McAllister Way\, Santa Cruz\, CA 95060 and on Zoom \nAgenda: \n\n10:30 am – 11:00 am – Professional Networking Session (in person only – light snacks and refreshments provided)\n11 am to 12 pm – presentation followed by Q & A \n12 pm – 1pm – student lunch with the speaker in OHB courtyard → sign up here\n\nZoom Meeting Registration: https://ucsc.zoom.us/meeting/register/NwH0_qUbSeuIm3A76DY-Dg \nRandi Solhjell is a postdoctoral researcher at the Department of Criminology and Sociology of Law\, Faculty of Law\, The University of Oslo\, and visiting Fulbright scholar at the Science and Justice Research Center\, the University of California\, Santa Cruz. She holds a PhD in Political Science from the London School of Economics. 
URL:https://events.ucsc.edu/event/fins-fisheries-insights-narratives-and-stories-seminar-series-featuring-dr-randi-solhjell/
LOCATION:Ocean Health Building\, McAllister Way\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars,Social Gathering
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/03/Dr-Randi-Solhjell-flyer.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T110000
DTEND;TZID=America/Los_Angeles:20260401T121500
DTSTAMP:20260417T205132
CREATED:20260325T164503Z
LAST-MODIFIED:20260330T203519Z
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SUMMARY:CSE Colloquium - Messages from across the event horizon:  AI Agentic Design for Computer Architecture (and more generalizable learnings)
DESCRIPTION:Presenter: Christopher Fletcher\, UC Berkeley \nAbstract: \nIt is difficult to escape the hype of agentic coding.  Is the hype real?  Are we still living in ~Summer 2025 — when AI coding would accomplish little more than upset its human supervisor?  Or has a level shift in technology finally arrived? \nIn this talk I will argue the latter.  I will describe a self-imposed experiment to discover modern AI coding tools’ capabilities (starting mid February 2026).  I will try (my best) to communicate my utter and sheer surprise at where the state of the art actually is.  Then I will do a deep dive and try to relay everything I have learned about this new engineering discipline—based on my attempts to push the technology as hard as I can for the past 1.5 months.  I will conclude by pontificating about the future of computer architecture and academic research more generally. \nBio: \nChristopher Fletcher is an Associate Professor of EECS at UC Berkeley. He is a computer architect whose research spans architecture\, security\, and domain-specific acceleration\, especially at their intersections from cryptography and hardware attacks to algorithm-to-hardware co-design. His work has received 31 paper recognitions and several other honors\, including the NSF CAREER Award\, Intel and Google faculty awards\, UIUC research and promotion awards\, election to DARPA ISAT\, and MIT’s George M. Sprowls Award\, with related work also recognized by Scientific American as one of ten “World Changing Ideas.” \nHosted by: Professor Alvaro Cardenas \nLocation: Engineering 2\, Room E2-180 (Refreshments such as fruit\, pastries\, coffee\, and tea will be provided.) \nZoom Option: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3 \n 
URL:https://events.ucsc.edu/event/cse-colloquium-messages-from-across-the-event-horizon-ai-agentic-design-for-computer-architecture-and-more-generalizable-learnings/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/03/BElogoWHITE.png
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260402T114000
DTEND;TZID=America/Los_Angeles:20260402T131500
DTSTAMP:20260417T205132
CREATED:20260401T004313Z
LAST-MODIFIED:20260401T004313Z
UID:10011828-1775130000-1775135700@events.ucsc.edu
SUMMARY:BME 280B Seminar: Small changes\, Big consequences: Modulators of Alphavirus Assembly
DESCRIPTION:Presenter: Dr. Suchetana (Tuli) Mukhopadhyay\, Professor\, Indiana University \nDescription: N/A \nBio: Suchetana “Tuli” Mukhopadhyay\, Ph.D.\, is a professor in the Department of Biology at Indiana University\, Bloomington. She received her B.A. in chemistry from DePauw University and her Ph.D. in chemistry from the University of Illinois at Chicago. Following her doctoral studies\, Mukhopadhyay conducted postdoctoral research at the University of Texas Southwestern Medical Center\, focusing on G-protein mediated signaling. She continued her postdoctoral work at Purdue University in structural virology\, where she developed a strong interest in arboviruses. Mukhopadhyay joined Indiana University in 2005\, where she established her research program on the assembly and spread of alphaviruses. \nHosted by: Professor Rebecca Dubois\, BME Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-small-changes-big-consequences-modulators-of-alphavirus-assembly/
LOCATION:Biomedical Sciences Building\, 575 McLaughlin Drive
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/03/mukhopadhyay-tuli-mar28-2017.jpg
GEO:46.1226939;-64.7891251
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Biomedical Sciences Building 575 McLaughlin Drive;X-APPLE-RADIUS=500;X-TITLE=575 McLaughlin Drive:geo:-64.7891251,46.1226939
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260403T132000
DTEND;TZID=America/Los_Angeles:20260403T142500
DTSTAMP:20260417T205132
CREATED:20260401T005024Z
LAST-MODIFIED:20260401T005118Z
UID:10011829-1775222400-1775226300@events.ucsc.edu
SUMMARY:BME 80G Seminar: To Infinity and Beyond? Ethical\, legal\, and social issues of human research in space”
DESCRIPTION:Presenter: Vaso Rahimzadeh\, Assistant Professor\, Baylor College of Medicine \nDescription: As humans venture farther into outer space\, new scientific discovery awaits including in genomics; but so do new ethical dilemmas.  Who bears the risks (and rewards) of space exploration and how should humanity ethically expand beyond our planet? This session will have students think critically about the ethical\, legal\, and social issues of human genomic research in space and offer frameworks for analyzing them. Students will learn about the contemporary challenges and opportunities of genomic research for the upcoming lunar missions\, and in anticipation of future Mars exploration. \nBio: I am Assistant Professor at the Center for Medical Ethics and Health Policy at Baylor College of Medicine. In my National Institutes of Health-funded research\, I investigate the ethical\, legal\, and social issues of health data sharing on earth and in space. I aim to inform policy and practice in ways that maximize the scientific value of data while respecting the rights and interests of individuals and communities. I director the METEORS program (Mission to Enhance eThics Education\, Outreach\, and Research in Space) and serve on the Bioethics Advisory Panel for the National Aeronautics and Space Administration (NASA). I am a proud UC alum\, earning my BS in Microbial Biology from UC Berkeley in 2012\, and hold a PhD from McGill University with a specialization in biomedical ethics. You can read more about my background and read my work here. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-80g-seminar-to-infinity-and-beyond-ethical-legal-and-social-issues-of-human-research-in-space/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/03/vasiliki-rahimzadeh_profilephoto.jpg
GEO:37.0001832;-122.0623528
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T160000
DTEND;TZID=America/Los_Angeles:20260406T170000
DTSTAMP:20260417T205132
CREATED:20260204T222651Z
LAST-MODIFIED:20260325T181208Z
UID:10009162-1775491200-1775494800@events.ucsc.edu
SUMMARY:AM Seminar: The Thinking Eye: AI That Sees\, Reads\, and Reasons in Medicine
DESCRIPTION:Presenter: Yuyin Zhou\, Assistant Professor\, UCSC \nDescription: Medical AI is undergoing a profound transformation\, evolving from simple pattern recognition to systems capable of complex clinical reasoning. This talk will chart this evolution across three dimensions: data\, models\, and evaluation. I will first highlight the shift from limited\, unimodal datasets to massive multimodal resources. In particular\, I will introduce MedTrinity-25M—a novel collection of over 25 million richly annotated medical images that serves as a foundation for multimodal tasks such as visual question answering and report generation. Building on this\, I will describe how grounding decision processes in a structured medical knowledge graph enables the generation of high-fidelity reasoning chains. Using these chains\, we construct a large-scale medical reasoning dataset\, which in turn allows us to develop a new class of reasoning models. These models not only achieve state-of-the-art performance on multiple clinical Q&A benchmarks but also produce reasoning outputs that physicians across seven specialties have independently verified as clinically reliable\, interpretable\, and more factually accurate than existing large language models. Finally\, the talk will offer a deep dive into the critical evaluation of these advanced models\, moving beyond standard benchmarks to expose their current limitations—particularly in interpreting dynamic clinical scenarios such as tracking disease progression from temporal image sequences. To foster a holistic understanding of the mechanisms underlying these reasoning models\, I will introduce a new evaluation framework that examines performance from two complementary perspectives: their grasp of static knowledge versus their capacity for dynamic reasoning. Together\, these advances point toward a future where AI systems can holistically analyze patient information and function as true collaborative partners in complex medical decision-making. \nBio: Yuyin Zhou is an Assistant Professor of Computer Science and Engineering at UC Santa Cruz. Her research interests lie at the intersection of machine learning and computer vision\, with a primary focus on AI for healthcare and scientific discovery. Her work (70+ peered-reviewed publications with18\,000+ citations) has been recognized with honors including 2025 Google Research Scholar Award\, Best Paper Award at KDD 2025 Health Day and at Computerized Medical Imaging and Graphics 2024\, 2023 Hellman Fellowship\, Best Paper Honorable Mention at DART 2022\, and finalist recognition for the MICCAI Young Scientist Publication Impact Award in 2022. Beyond her research\, Yuyin has organized over 20 workshops and tutorials at major conferences including ICML\, MICCAI\, ML4H\, ICCV\, CVPR\, and ECCV\, with coverage in media outlets such as ICCV Daily and Computer Vision News. She serves as a regular Area Chair for CVPR\, ICLR\, MICCAI\, CHIL\, and ISBI\, an associate editor for SPIE medical imaging\, Image and Vision Computing\, and was the Doctoral Consortium Chair for WACV 2025. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-the-thinking-eye-ai-that-sees-reads-and-reasons-in-medicine/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/02/ph.d.-presentation-graphic-option2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T160000
DTEND;TZID=America/Los_Angeles:20260406T170000
DTSTAMP:20260417T205132
CREATED:20260318T171956Z
LAST-MODIFIED:20260318T171956Z
UID:10011340-1775491200-1775494800@events.ucsc.edu
SUMMARY:Statistics Seminar: Some Recent Results on Transfer Learning
DESCRIPTION:Presenter: Oscar Hernan Madrid Padilla\, Assistant Professor\, University of California\, Los Angeles \nDescription: In the first part of the talk\, I will introduce TRansfer leArning via guideD horseshoE prioR (TRADER)\, a novel approach enabling multi-source transfer through pre-trained models in high-dimensional linear regression. TRADER shrinks target parameters towards a weighted average of source estimates\, accommodating sources with different scales. Theoretical investigation shows that TRADER achieves faster posterior contraction rates than standard continuous shrinkage priors when sources align well with the target while preventing negative transfer from heterogeneous sources. Extensive numerical studies and a real-data application demonstrate that TRADER improves estimation and inference accuracy over state-of-the-art transfer learning methods. In the second part of the talk\, I will discuss some ongoing work involving transfer learning in nonparametric regression with ReLU networks \nBio: Oscar Madrid Padilla is a tenure-track Assistant Professor in the Department of Statistics at the University of California\, Los Angeles. Previously\, from July 2017 to June 2019\, he was a Neyman Visiting Assistant Professor in the Department of Statistics at the University of California\, Berkeley. Before that\, he earned his Ph.D. in Statistics from The University of Texas at Austin in May 2017 under the supervision of Professor James Scott. He completed his undergraduate degree\, a B.S. in Mathematics\, at CIMAT in Mexico in April 2013. \nHosted by: Statistics Department 
URL:https://events.ucsc.edu/event/statistics-seminar-some-recent-results-on-transfer-learning/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/03/ph.d.-presentation-graphic-option-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260410T132000
DTEND;TZID=America/Los_Angeles:20260410T142500
DTSTAMP:20260417T205132
CREATED:20260407T233816Z
LAST-MODIFIED:20260410T190015Z
UID:10012072-1775827200-1775831100@events.ucsc.edu
SUMMARY:BME 80G Seminar: Sara Ackerman - Doing Ethics From The Inside: Collaboration\, Critique\, and Contradiction in Team Science
DESCRIPTION:Presenter: Sara Ackerman\, Medical Anthropologist and Professor of Social and Behavioral Sciences\, University of California\, San Francisco \nDescription: Team science has been widely promoted as a collaborative\, cross-disciplinary approach to addressing key scientific questions\, yet power differences and epistemic hierarchies persist. This talk explores "embedded ethics"—a model in which social scientists and ethicists work directly with scientific research teams. Drawing on findings from an empirical ethics project embedded in a multi-year clinical genomics study\, I demonstrate how qualitative methods and participatory design can shift the researcher-participant dynamic toward greater reciprocity and attention to enrolled families’ experiences. At the same time\, ethicists and social scientists can find themselves in an uncomfortable and even paradoxical position\, expected to facilitate project goals—such as recruitment of historically underrepresented groups—while simultaneously critically assessing the very categories of difference and measures being used. In the future\, team science collaborations can result in more just and broadly beneficial science if social science\, humanities and community partners are able to meaningfully contribute to the research agenda itself. \nBio: Sara Ackerman\, PhD\, MPH\, is a medical anthropologist and Professor of Social and Behavioral Sciences at the University of California\, San Francisco. Her research draws on ethnographic methods and public engagement to examine how genomics\, artificial intelligence and other emerging medical technologies affect the lives of patients and caregivers and shape conceptions of health\, illness and the public good. Sara teaches courses on community-engaged research\, qualitative methods\, and research ethics at UCSF. As Director of the Bioethics and Regulatory Support Program for UCSF’s Clinical and Translational Science Institute\, she is working to increase patient and public participation in decisions about the use of AI in clinical care and the sharing of patients’ clinical data for research. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-80g-seminar-sara-ackerman-doing-ethics-from-the-inside-collaboration-critique-and-contradiction-in-team-science/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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GEO:37.0001832;-122.0623528
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T080000
DTEND;TZID=America/Los_Angeles:20260515T170000
DTSTAMP:20260417T205132
CREATED:20260214T011406Z
LAST-MODIFIED:20260415T142739Z
UID:10009233-1776067200-1778864400@events.ucsc.edu
SUMMARY:2026 Right Livelihood International Conference
DESCRIPTION:The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy\, collective intelligence\, and just futures. Bringing together Right Livelihood Laureates\, students\, faculty\, and community partners across continents\, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes\, the conference positions education as a democratic practice and the Right Livelihood College as a steward of dialogue\, student voice\, and long-term institutional learning. \nRegistration is free and open to the public. Sign up to receive conference updates\, session links\, and participation opportunities.
URL:https://events.ucsc.edu/event/2026-right-livelihood-international-conference/
LOCATION:
CATEGORIES:Film Screening,Lectures & Presentations,Meetings & Conferences,Ph.D. Presentations,Seminars,Social Gathering,Training,Undergraduate,Workshop
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/02/World-with-dots.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T104000
DTEND;TZID=America/Los_Angeles:20260413T114500
DTSTAMP:20260417T205132
CREATED:20260409T225747Z
LAST-MODIFIED:20260409T225806Z
UID:10012090-1776076800-1776080700@events.ucsc.edu
SUMMARY:ECE 290 Seminar: Speaker Dr. Josh Star-Lack - Photon Counting Detectors for X-Ray Computed Tomography
DESCRIPTION:Presenter: Dr. Josh Star-Lack\, Principal Scientist and Research Manager\, Varex Imaging Inc \nDescription: X-ray computed tomography (CT) provides rapid\, detailed 3D imaging of internal organs\, bones\, and vasculature. By enabling the swift diagnosis of cancer\, cardiac disease\, neurological disorders\, and other pathologies\, CT has revolutionized medicine—reducing the need for invasive exploratory surgeries and facilitating precise treatment planning. Despite the technology’s maturity\, the clinical demand for higher spatial resolution\, increased sensitivity\, and lower ionizing radiation doses remains high. This presentation reviews the fundamental principles of CT\, traces its evolution since its invention 50 years ago\, and describes a new technology\, photon-counting x-ray detection\, as a transformative solution to current clinical challenges. \nBio: Josh Star-Lack received his B.S. in Applied and Engineering Physics from Cornell University and Ph.D. in Electrical Engineering from U.C. Berkeley. He has worked on the development of medical imaging technologies\, including X-ray computed tomography and magnetic resonance imaging\, for his entire professional career. He is currently a Principal Scientist and Research Manager at Varex Imaging Inc\, the world’s largest manufacturer of X-ray detectors and tubes. He has co-authored over 150 publications and holds over 50 patents. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom Link: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-speaker-dr-josh-star-lack/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/03/BElogoWHITE.png
GEO:37.0009723;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T132000
DTEND;TZID=America/Los_Angeles:20260413T142500
DTSTAMP:20260417T205132
CREATED:20260409T223335Z
LAST-MODIFIED:20260409T223335Z
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SUMMARY:BME 80G Seminar: Speaker Dr. Mohammed Mostajo-Radji - How Close Are We to Consciousness in a Dish?
DESCRIPTION:Presenter: Dr. Mohammed Mostajo-Radji\, Associate Research Scientist\, Genomics Institute UCSC \nDescription: We can now grow small pieces of human brain tissue in the lab\, known as brain organoids. These models show many features of early brain development\, including different types of neurons and coordinated electrical activity. This progress raises a fascinating question: how close are we to consciousness in a dish? In this talk\, I will explain what brain organoids are\, what we mean by consciousness\, and why answering this question is more complex than it may seem. I will end by introducing the idea of neurorights\, and why thinking about the rights and protections of minds matters as brain science and technology continue to advance. \nBio: Dr. Mohammed Mostajo-Radji is an Associate Research Scientist at the Genomics Institute UCSC. He is part of the Braingeneers group\, a multidisciplinary collective of geneticists\, neuroscientists\, and engineers focused on the human brain’s specification and function. His research explores neuronal specification and fate plasticity in the cerebral cortex using brain organoid models. Additionally\, he leads the Live Cell Biotechnology Discovery Lab\, which develops cloud-based experimental science education technologies. Dr. Mostajo-Radji earned his PhD in Molecular and Cellular Biology from Harvard University and completed postdoctoral training at UCSF. He also co-leads the Data Coordination Center for the SSPsyGene Consortium\, an NIH initiative to characterize genetic mutations associated with neuropsychiatric disorders.  \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-80g-seminar-speaker-dr-mohammed-mostajo-radji-how-close-are-we-to-consciousness-in-a-dish/
LOCATION:Jack Baskin Auditorium\, 191 Baskin Cir\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260417T205132
CREATED:20260312T223749Z
LAST-MODIFIED:20260312T223836Z
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SUMMARY:Statistics Seminar: Calibration Weighting-Style Diagnostics for Nonlinear Bayesian Hierarchical Models
DESCRIPTION:Presenter: Dr. Ryan Giordano\, UC Berkeley Statistics \nDescription: Multilevel Regression with Post-stratification (MrP) has become a workhorse method for estimating population quantities using non-probability surveys\, and is the primary alternative to traditional survey calibration weights\, e.g.~ as computed by raking. For simple linear regression models\, MrP methods admit “equivalent weights”\, allowing for direct comparisons between MrP and traditional calibration weights (Gelman 2006). In the present work\, we develop a more general framework for computing and interpreting “MrP local equivalent weights” (MrPlew)\, which admit direct comparison with calibration weights in terms of important diagnostic quantities such as covariate balance\, frequentist sampling variability\, and partial pooling. MrPlew is based on a local approximation\, which we show in theory and practice to be accurate and meaningful for the target diagnostics. Importantly\, MrPlew can be easily computed based on existing MCMC samples and conveniently wraps standard MrP software implementations. \nBio: Dr. Ryan Giordano is currently an assistant professor of statistics at UC Berkeley. Dr. Ryan Giordano earned a PhD in Statistics from UC Berkeley advised by Michael Jordan\, Tamara Broderick\, and Jon McAuliffe\, an MSc with distinction in econometrics and mathematical economics from the London School of Economics\, and undergraduate degrees in mathematics and engineering mechanics from the University of Illinois in Urbana-Champaign. Dr. Ryan Giordano has worked as a postdoctoral researcher at MIT under Tamara Broderick\, as an engineer for Google and HP\, and served for two years as an education volunteer in the US Peace Corps in Kazakhstan. Dr. Ryan Giordano’s research interests include machine learning\, variational inference\, Bayesian methods\, robustness quantification\, and what it even means to do statistics at all. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-calibration-weighting-style-diagnostics-for-nonlinear-bayesian-hierarchical-models/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260417T205132
CREATED:20260406T170431Z
LAST-MODIFIED:20260406T170431Z
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SUMMARY:AM Seminar: Genetically Admixed Groups as a Laboratory for Mathematical Modeling and Discovery
DESCRIPTION:Presenter: Dr. Aw\, Department of Genetics\, University of Pennsylvania \nDescription: Admixed groups consist of individuals descended from two or more historically separated ancestral populations\, and they are underrepresented in biomedical studies. Admixed individuals are unique in that they carry mosaics of ancestral segments within their genome\, so their genetic information is typically summarized as a pair of genotype and local ancestry data matrices. I will present two research projects on admixed groups: one applying statistical models to study genetic architecture and polygenic risk\, and another using biomedical data analysis to motivate combinatorial and probabilistic questions. In the “math to genetics” direction\, we describe structural causal models that show local and global genetic ancestry are instruments for epistasis. These models of genetic architecture imply that certain polygenic scores can differentiate between cis and trans epistases\, and highly similar cross-ancestry genetic effects do not rule out pervasive gene-gene or gene-environment interactions. In the “genetics to math” direction\, we study the enumeration of genotype and local ancestry data matrices — which we call admixed arrays — subject to constraints that arise naturally in biomedical applications. Using saddle-point approximation and complex martingale techniques\, we show that admixed arrays admit a different independence heuristic than the closely related binary contingency tables (e^(–1/4) vs e^(–1/2) correction factor). If time permits\, we will discuss ongoing work on designing algorithms for performing exact and approximate enumeration. \nAbout the speaker: Alan Aw is a mathematical scientist specializing in human statistical and population genomics. He is currently a postdoctoral researcher with the Department of Genetics at the University of Pennsylvania\, having obtained a PhD in Statistics at UC Berkeley and studied Applied Mathematics as an undergraduate. His research centers on the genetics and mathematical modeling of underrepresented groups. This includes statistical modeling and analyses of Biobank-scale admixed cohorts to better understand the genetic architecture of biomedical traits and improve genetic risk prediction\, developing non-parametric hypothesis testing methods for genomics\, and interdisciplinary approaches to studying European demographic history inclusive of indigenous Siberians. He is a member of the PRIMED Consortium and a trainee under a National Institutes of Health T32 Grant in Genomic Medicine. \nHosted By: Applied Mathematics  \n 
URL:https://events.ucsc.edu/event/am-seminar-genetically-admixed-groups/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260414T120000
DTEND;TZID=America/Los_Angeles:20260414T130000
DTSTAMP:20260417T205132
CREATED:20260407T191646Z
LAST-MODIFIED:20260407T191800Z
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SUMMARY:Nursing School Info Session with UPENN and Johns Hopkins
DESCRIPTION:University of Pennsylvania and Johns Hopkins Schools of Nursing each offer accelerated nursing programs for individuals looking to transition to the field from non-nursing degrees. \nWe will cover program overview\, admissions and career outcomes. \nHumanities 1 – Room 202 \nRegister now! \n  \nYOU BELONG HERE\nPrograms and services are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. To learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications.
URL:https://events.ucsc.edu/event/nursing-school-info-session-with-upenn-and-johns-hopkins/
LOCATION:Humanities 1 Building\, 257 Cowell-Stevenson Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260414T160000
DTEND;TZID=America/Los_Angeles:20260414T170000
DTSTAMP:20260417T205132
CREATED:20260407T191115Z
LAST-MODIFIED:20260408T203231Z
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SUMMARY:Prepare for the Fair with COOP Careers
DESCRIPTION:Join us for an in-person workshop with COOP Careers about elevating your professional brand – just in time to prepare for the Spring Career & Internship Fair. \nThis session will help students craft a compelling professional pitch\, tailor their resume to stand out to employers\, and network meaningfully with industry professionals. Don’t miss this chance to get fair-ready and set yourself up for success! \nRegister now! \nYOU BELONG HERE\nPrograms and services are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. To learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications.
URL:https://events.ucsc.edu/event/prepare-for-the-fair-with-coop-careers/
LOCATION:Career Success Student Lounge (125 Hahn)\, 1156 High Street\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Meetings & Conferences,Seminars,Training,Undergraduate,Workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T103000
DTEND;TZID=America/Los_Angeles:20260415T120000
DTSTAMP:20260417T205132
CREATED:20260331T011648Z
LAST-MODIFIED:20260408T203606Z
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SUMMARY:FINS: Fisheries Insights Narratives and Stories seminar series featuring Dr. George Leonard
DESCRIPTION:Please join us for the second talk in the FINS: Fisheries Insights Narratives and Stories seminar series featuring Adjunct Professor Dr. George Leonard. His talk\, “Lessons learned from my time at the science-policy interface” will discuss his 35 years of experience researching\, communicating\, and advocating for a vibrant and healthy ocean upon which all of us depend. He has been at the forefront of ocean science-policy interface at major nonprofits (Monterey Bay Aquarium and Ocean Conservancy)\, working on practical ocean solutions to some of the ocean’s greatest environmental challenges. He initiated\, developed\, and led a host of conservation programs during his time at Ocean Conservancy including offshore aquaculture\, plastics pollution\, ocean acidification\, climate change\, mesopelagic fisheries\, and deep-sea mining. During his early career at Monterey Bay Aquarium\, he developed the scientific foundation for the nascent sustainable seafood movement \nFINS: Fisheries Insights Narratives and Stories Seminar Series \nDr. George Leonard\, Adjunct Professor\, Coastal Science and Policy UCSC \nTitle: Lessons learned from my time at the science-policy interface \nWhen: Wednesday\, April 15th from 10:30am-12pm \nWhere: Ocean Health Building Rm 118\, 115 McAllister Way\, Santa Cruz\, CA 95060 and on Zoom \nAgenda: \n\n10:30 am – 11:00 am – Professional Networking Session (in person only – light snacks and refreshments provided)\n11 am to 12 pm – presentation followed by Q & A\n12 pm – 1pm – student lunch with the speaker in OHB courtyard → sign up here\n\nZoom Meeting Registration: https://ucsc.zoom.us/meeting/register/NwH0_qUbSeuIm3A76DY-Dg \n 
URL:https://events.ucsc.edu/event/fins-fisheries-insights-narratives-and-stories-seminar-series-featuring-dr-george-leonard/
LOCATION:Ocean Health Building\, McAllister Way\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars,Social Gathering
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T110000
DTEND;TZID=America/Los_Angeles:20260415T121500
DTSTAMP:20260417T205132
CREATED:20260407T155318Z
LAST-MODIFIED:20260407T155318Z
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SUMMARY:CSE Colloquium - Algorithmic Problems in Discrete Choice by Ravi Kumar
DESCRIPTION:Presenter: Ravi Kumar\, Google \nAbstract:\nIn discrete choice\, a user selects one option from a finite set of available alternatives\, a process that is crucial for recommendation systems applications in e-commerce\, social media\, search engines\, etc.  A popular way to model discrete choice is through Random Utility Models (RUMs).  RUMs assume that users assign values to options and choose the one with the highest value from among the available alternatives.  RUMs have become increasingly important in the Web era; they offer an elegant mathematical framework for researchers to model user choices and predict user behavior based on (possibly limited)  observations.   While RUMs have been extensively studied in behavioral economics and social sciences\, many basic algorithmic tasks remain poorly understood.  In this talk\, we will discuss various algorithmic and learning questions concerning RUMs. \nBio: \nRavi Kumar has been a research scientist at Google since 2012. Prior to this\, he was at the IBM Almaden Research Center and at Yahoo! Research. His interests include algorithms for massive data\, ML/privacy\, and the theory of computation. He maintains an extensive publication record that includes Test-of-Time Awards from STOC and WWW\, as well as Best Paper Awards from KDD and WWW\, to mention a few. He is an ACM fellow.\n\nHosted by: Professor Sungjin Im \n\nDate and Time: Wednesday\, April 15\, 2026 from 11:00 am – 12: 15 pm \nLocation: Engineering 2\, Room E2-180 (Refreshments such as fruit\, pastries\, coffee\, and tea will be provided.) \n\nZoom Option: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3 \n\n 
URL:https://events.ucsc.edu/event/cse-colloquium-algorithmic-problems-in-discrete-choice-by-ravi-kumar/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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