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SUMMARY:Careers in Climate Tech & Sustainability
DESCRIPTION:Ready to explore career pathways that matter? \nAttend our very special Careers in Climate Tech & Sustainability Panel—celebrating Baskin Engineering Climate Week—for an inside look at careers that will help build a sustainable future. Panelists representing different roles and organizations will share their career journeys and offer practical insights into working in climate tech. There will also be a catered networking reception that follows—don’t miss it! \nGet informed\, inspired\, and discover your path to a career in sustainability! \nThis event is part of Baskin Engineering’s Climate Tech Day featuring a community fair where students\, faculty\, climate and sustainability tech companies\, and community organizations will showcase their works through demonstrations\, poster presentations\, tabling\, and more.  \nWhere: E2-180\nWhen: Thursday\, April 23\, 5:00-6:15 p.m. \nRegister via Handshake. \nIf you have disability-related needs\, please contact the Career Success office at csuccess@ucsc.edu or (831) 459-4420 as soon as possible. \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/careers-in-climate-tech-sustainability/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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SUMMARY:Pawl\, E. (STAT) - Flexible and Scalable Mixtures of Experts for Oceanographic Flow Cytometry Data
DESCRIPTION:Flow cytometry is a valuable technique in microbial research used to measure the optical properties of single-celled organisms at high throughput. Oceanographers often deploy flow cytometers on research cruises in order to study the characteristics of phytosynthetic microbes—called phytoplankton—in regions and times with diverse environmental conditions. Because cytometers cannot distinguish between subpopulations\, researchers typically cluster observations into subpopulations and subsequently analyze cluster characteristics. This two-stage workflow is often manual\, difficult to reproduce\, and fails to account for uncertainty in cluster assignments when relating subpopulation behavior to environmental conditions. To address these shortcomings\, statistical mixture models are gradually being introduced as alternatives to manual flow cytometry data analysis. However\, existing models either cannot use covariates or make restrictive assumptions about the relationships between cluster characteristics and covariates. Additionally\, they are designed to analyze individual cruises and consequently characterize local\, rather than global\, patterns in phytoplankton behavior. We propose to develop computationally efficient mixtures of experts which account for the complex dependency structures in oceanographic flow cytometry data. In this framework\, cells are probabilistically assigned to latent subpopulations\, while cluster-specific regressions relate each subpopulation’s optical properties and relative abundance to environmental conditions. Our first project develops a mixture of random weight neural network experts which can estimate arbitrary nonlinear regressions at low computational cost\, without a priori specification of functional forms. In the second project\, we develop a variational Bayesian mixture of experts which automatically selects variables without requiring cross-validation for hyperparameter selection. The final project incorporates spatial and temporal dependence\, allowing joint inference on data collected from multiple research cruises conducted at different locations and times. \nEvent Host: Ethan Pawl\, Ph.D. Student\, Statistical Science \nAdvisors: Sangwon Hyun & Paul Parker \nZoom- https://ucsc.zoom.us/j/96353239941?pwd=a4PJ94EMSD6D0SJ75S3WYzrPbYsBtn.1 \nPasscode- 244463
URL:https://events.ucsc.edu/event/pawl-e-stat-flexible-and-scalable-mixtures-of-experts-for-oceanographic-flow-cytometry-data/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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SUMMARY:Climate Tech & Sustainability Showcase
DESCRIPTION:Join us for a Climate Tech & Sustainability Showcase\, where students\, faculty\, climate and sustainability-focused companies\, founders\, and community organizations come together to share their work and ideas. The event is part of Baskin Engineering Climate Week\, focused on raising awareness of climate issues and sustainability research and teaching. \nExplore a range of interactive demos\, poster presentations\, and tabling displays highlighting innovative research\, emerging technologies\, and real-world solutions to climate challenges. Baskin Engineering student organizations will also be on hand to share their climate friendly projects! \nCome network\, promote your organization\, and meet up-and-coming talent alongside other passionate\, like-minded members of the climate and sustainability community. \nWhere: BE Courtyard\nWhen: 2:00-5:00 p.m.
URL:https://events.ucsc.edu/event/climate-tech-sustainability-showcase/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260423T114000
DTEND;TZID=America/Los_Angeles:20260423T131500
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SUMMARY:BME 280B Seminar: Speaker Dr. Aaron Newman - Molecular and spatial determinants of single-cell developmental states in cancer
DESCRIPTION:Presenter: Dr. Newman\, Associate Professor in the Department of Biomedical Data Science\, Stanford University \n  \nDescription: Determining the factors that shape cell potency—the ability of a cell to differentiate into other cell types—is essential for understanding tissue biology in health and disease\, including cancer. In previous work\, we found that single-cell transcriptional diversity decreases across developmental time\, from the fertilized egg to the most mature cells in the body\, and in multiple organisms. More recently\, we developed CytoTRACE 2\, an interpretable AI framework trained on millions of data points from single-cell RNA sequencing data\, to determine cell potency on an absolute scale and reveal molecular hallmarks of developmental potential. We are now leveraging this method along with advances in spatial transcriptomics\, to identify multicellular ecosystems linked to cancer cell differentiation states and clinical outcomes. I will highlight these tools along with our ongoing work to decode cell plasticity and clinically relevant spatial microenvironments in human malignancies. \n  \nBio: Dr. Newman is an Associate Professor in the Department of Biomedical Data Science at Stanford University and a Chan Zuckerberg Biohub Investigator. He is also a member of the Stanford Cancer Institute and the Stanford Institute for Stem Cell Biology and Regenerative Medicine. Dr. Newman has made significant contributions to computational biology with applications to liquid biopsy\, cancer genomics\, and tumor immunology. Key contributions include CAPP-Seq for ultrasensitive detection of circulating tumor DNA; CIBERSORT/x for decoding cellular composition from bulk genomic data; CytoTRACE/2 for inferring cellular differentiation states from scRNA-seq data; and EcoTyper for delineating context-dependent cellular ecosystems from bulk\, single-cell\, and spatial expression data. His research program focuses on developing innovative data science tools to study the phenotypic diversity\, differentiation hierarchies\, and clinical significance of tumor cells and their surrounding microenvironments. Key results are further explored experimentally\, both in the lab and through collaboration\, with the goal of translating promising findings into the clinic.  \nHosted by: Professor Camilla Forsberg\, BME Department
URL:https://events.ucsc.edu/event/molecular-and-spatial-determinants-of-single-cell-developmental-states-in-cancer/
LOCATION:Biomedical Sciences Building\, 575 McLaughlin Drive
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260422T110000
DTEND;TZID=America/Los_Angeles:20260422T121500
DTSTAMP:20260506T040258
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SUMMARY:CSE Colloquium - Robust Machine Learning for Biomedical Data: Efficiency\, Reliability\, and Generalizability
DESCRIPTION:Presenter\nChenyu You\, Stony Brook University \nAbstract\nIn the rapidly growing area of machine learning\, there is profound promise in crafting intelligent\, data-driven methods for diverse real-world applications. Yet\, in safety-critical domains like healthcare\, some fundamental challenges remain: (1) The insufficiency of raw biomedical data emphasizes the need for data-efficient and robust learning approaches. (2) The imperative of safety and stability necessitates a cohesive framework that unifies learning with theoretical guarantees. (3) The inherent heterogeneity and distribution shifts in real-world clinical data call for robust and generalizable learning methods. To address these challenges\, there are several major directions I have explored: (i) (Robust) Machine Learning for Imperfect Medical Data: The development of machine learning models\, particularly in the context of label scarcity\, increasingly necessitates the collection of substantial annotated medical data. Moreover\, medical data often display a long-tailed class distribution\, which consequently results in notable imbalance issues. To this end\, there are several growing interests in training machine learning models jointly across imbalanced class distributions and limited annotations. I have developed novel\, efficient\, statistically consistent algorithms to improve empirical performance for biomedical image analysis. (ii) Learning with Theoretical Guarantees: As machine learning methods have become ubiquitous in clinical decision-making\, their reliability and interpretability have become important. This is particularly crucial in the field of biomedical image analysis\, where decision outcomes can have profound implications. I have developed novel machine learning algorithms that enable provably accurate anatomical modeling with theoretical guarantees. (iii) Generalize across Diverse Biomedical Data: The development of medical foundation models often requires massive and diverse biomedical data. To this end\, I have developed various foundation models for biomedical imaging data and explored novel applications of these models. I have also developed novel medical AI Agents that lead to the scalable and accurate predictive modeling\, particularly for distribution shift problems. \nSpeaker Bio\nChenyu You is an Assistant Professor in the Department of Applied Mathematics & Statistics and Department of Computer Science at Stony Brook University. He is also the core faculty member of the CVLab\, AI institute\, and affiliated with the Institute for Advanced Computational Science. His research focuses on both fundamental and applied problems in computer vision and machine learning\, often with a focus on generalization\, and making machine learning more reliable. Our applied research includes applications to healthcare\, biomedical imaging\, and cognitive neuroscience. He received his Ph.D. in 2024 from Yale University under the advisement of James S. Duncan\, his M.S. in 2019 from Stanford University under the advisement of Daniel Rubin\, and his B.S. in 2017 from Rensselaer Polytechnic Institute under the advisement of Ge Wang\, all in electrical engineering. He has also spent wonderful time at Facebook AI Research (FAIR)\, as well as Google Research. He serves on the Medical Image Computing and Computer-Assisted Intervention Society (MICCAI)\, and the SUNY AI Symposium Planning Committee\, and as associate editors for IEEE Transactions on Medical Imaging\, Medical Image Analysis\, IEEE Transactions on Neural Networks and Learning Systems\, Pattern Recognition\, and Transactions on Machine Learning Research. He has received AAAI’26 New Faculty Highlights\, CPAL’26 Rising Stars Award\, Tinker Research Grant Award\, Lambda Research Grant Award\, ICML’25 Oral Presentation Award\, EMBC’25 Top Paper Award\, MICCAI’25 NIH Registration Grant Award\, IEEE TMI’25 Distinguished Associate Editor Certificate of Excellence Award\, and Yale George P. O’Leary Graduate Fellowship\, and has been ranked as the World’s Top 2% most-cited scientists by Stanford University since 2024\, is a member of the Sigma Xi scientific research society\, and received the Excellence in Teaching Award for Spring and Fall 2025. For more information\, please check his website: https://chenyuyou.me/. \nHosted by: Professor Yuyin Zhou \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
URL:https://events.ucsc.edu/event/cse-colloquium-robust-machine-learning-for-biomedical-data-efficiency-reliability-and-generalizability/
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:20260421T100000
DTEND;TZID=America/Los_Angeles:20260421T113000
DTSTAMP:20260506T040258
CREATED:20260401T234645Z
LAST-MODIFIED:20260401T234645Z
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SUMMARY:BE Climate & Cookies Student Pop-Up!
DESCRIPTION:Come get excited about Baskin Engineering Climate Week at our student pop-up! 🌎 \nClimate Week is a chance to explore how Baskin Engineering is addressing climate challenges through innovative research\, teaching\, and hands-on projects. \nDiscover the events happening throughout the week and find ways to get involved! \nSwing by for FREE BE swag\, coffee\, cookies\, Climate Week stickers\, and more—first come\, first served! \nWhere: BE Courtyard\nWhen: Tuesday\, April 21\, 10:00-11:30 a.m. \nWe hope to see you there!
URL:https://events.ucsc.edu/event/be-climate-week-pop-up-2026/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Social Gathering
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260506T040258
CREATED:20260331T181211Z
LAST-MODIFIED:20260331T181211Z
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SUMMARY:Statistics Seminar: Hierarchical Clustering with Confidence
DESCRIPTION:Presenter: Snigdha Panigrahi\, Associate Professor\, Department of Statistics\, University of Michigan \nDescription:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate to each other. However\, its greedy nature makes it highly sensitive to small perturbations in the data\, often producing different clustering results and making it difficult to separate genuine structure from spurious patterns. In this talk\, I will show how randomizing hierarchical clustering can be useful not just for measuring stability but also for designing valid hypothesis testing procedures based on the clustering results. We propose a simple randomization scheme to construct valid p-values at each node of a hierarchical clustering dendrogram\, quantifying evidence against greedy merges while controlling the Type I error rate. Our method applies to any linkage without case-specific derivations\, is substantially more powerful than existing selective inference approaches\, and provides an estimate of the number of clusters with a probabilistic guarantee on overestimation. \nBio:Snigdha Panigrahi is an Associate Professor of Statistics at the University of Michigan\, where she also holds a courtesy appointment in the Department of Biostatistics. She received her PhD in Statistics from Stanford University in 2018 and has been a faculty member at Michigan since then. Her research focuses on converting purely predictive machine learning algorithms into principled inferential methods. She is an elected member of the International Statistical Institute\, and her work has been recognized with an NSF CAREER Award and the Bernoulli New Researcher’s Award. Her editorial service\, past and present\, includes Journal of Computational and Graphical Statistics\, Bernoulli\, and Journal of the Royal Statistical Society: Series B. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-hierarchical-clustering-with-confidence/
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260420T160000
DTEND;TZID=America/Los_Angeles:20260420T170000
DTSTAMP:20260506T040258
CREATED:20260331T180549Z
LAST-MODIFIED:20260331T180549Z
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SUMMARY:AM Seminar: Variational Inference and Density Estimation with Non-Negative Tensor Train
DESCRIPTION:Presenter: Dr. Xun Tang\, Stanford University \nDescription: This talk covers an efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format. The two settings we consider are variational inference and density estimation\, whereby one has access to either the unnormalized analytic formula of the distribution or the samples generated from the distribution. In particular\, the compression is done through a two-stage approach. In the first stage\, we use existing subroutines to encode the distribution function in a tensor train format. In the second stage\, we use an NTT ansatz to fit the obtained tensor train. For the NTT fitting procedure\, we use a log barrier term to ensure the positivity of each tensor component\, and then utilize a second-order alternating minimization scheme to accelerate convergence. In practice\, we observe that the proposed NTT fitting procedure exhibits drastically faster convergence than an alternative multiplicative update method that has been previously proposed. Through challenging numerical experiments\, we show that our approach can accurately compress target distribution functions. \nBio: Xun Tang is a postdoc in Stanford University\, department of mathematics\, hosted by Prof. Lexing Ying. Xun works on tensor network methods for scientific computing and data science\, and Xun also works on optimal transport algorithms. Xun will join HKUST department of mathematics in August 2026 as an incoming assistant professor. \nHosted by: Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-variational-inference-and-density-estimation-with-non-negative-tensor-train/
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260416T110000
DTEND;TZID=America/Los_Angeles:20260416T150000
DTSTAMP:20260506T040258
CREATED:20260304T005400Z
LAST-MODIFIED:20260305T171512Z
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SUMMARY:2026 Spring (all-majors) Career & Internship Fair
DESCRIPTION:Undergraduate and graduate students and recent alumni interested in pursuing careers in business\, arts\, social sciences & humanities industries are welcome to attend. Get the chance to meet recruiters from many industries/firms seeking to fill internship\, full-time\, and part-time roles. Come take essential steps toward laying the foundation for your future career and potentially even land an interview! \nCurious about how to best prepare for the fair? \n1. Research the organization \nIdentify the top 3-5 companies you are interested in\, but remember to be open to different companies you may not have heard of because they may be a startup or business-to-business organization that doesn’t directly serve consumers. \nDo your research by reviewing company websites. Look for their mission\, values\, location\, and the type of available opportunities (e.g.\, internships\, full-time positions\, etc.). Company representatives are impressed by potential candidates who take the time to do this! \n2. Prepare your introduction and questions \nReflect on what it is about each company that resonates with you. Perhaps it’s the specific technology they’re developing\, the research they’re leading\, or the world problem they’re trying to solve. What relevant experiences do you have? How can you be of service to that organization? Exercise critical thinking skills to develop questions to ask recruiters and hiring managers. \n3. Dress with confidence \nEach industry and each company has different work attire expectations and organizational culture. Do your research\, ask mentors in advance for advice\, and dress to impress! \nPLEASE NOTE: You are encouraged to check in at the student registration table in order to participate in the career fair. Bring your student ID. \nThis program is open to all students consistent with state and federal law\, the UC Nondiscrimination Statement and the Nondiscrimination Policy Statement for University of California Publications Regarding Student-Related Matters. \nWant more support? \n  \n\nVisit a peer coach during drop-in hours\nSchedule a career coaching appointment with a Career Engagement Specialist\nFor PhD students looking to pursue careers in industry\, explore Beyond the Professoriate\n(Scroll over “Login to Platform” at the top navigation bar and click “Through your institution”)\nStay in the loop by following Career Success on Instagram\n\nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication. \nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication.\n\n \nYou Belong Here: The programs and services described here 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. \nTo learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications. \nQuestions? Send to csuccess@ucsc.edu or visit Career Success at Hahn 125 East Entrance\nNeed accessibility support? Let us know at slugtalent@ucsc.edu at least two weeks prior to the fair date. \n\n\n\nCareer fair registrations are made without endorsement\, direct or implied\, by Career Success or UCSC. Career Success educates students about various opportunities and ensures equity of access to campus recruiting activities for all employers who abide by our Employer Policies. Individual students are encouraged to determine which employers align with their diverse talents\, values\, and interests.
URL:https://events.ucsc.edu/event/2026-spring-all-majors-career-internship-fair/
LOCATION:Colleges Nine and John R. Lewis College Multi-purpose Room\, 615 College Nine Road\, Santa Cruz\, CA\, 95064
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DTSTART;TZID=America/Los_Angeles:20260416T110000
DTEND;TZID=America/Los_Angeles:20260416T130000
DTSTAMP:20260506T040258
CREATED:20260408T202602Z
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SUMMARY:Mirchandani\, C. (BMEB) - Population and Evolutionary Genomics Across Ecological Scales
DESCRIPTION:Sequencing technologies have transformed population and evolutionary genetics\, making it possible to ask questions at scales that were intractable a decade ago. Realizing that potential depends on tailored computational approaches\, and on the tools and infrastructure those approaches are built on. My dissertation works across this spectrum. Using an in vitro Drosophila cell culture system\, I show that mixed Wolbachia infections resolve rapidly and deterministically\, with one strain competitively excluding the other across host species and starting frequencies\, offering an explanation for why mixed infections are rarely observed in nature. In a deep-sea clam and its obligate bacterial symbiont\, I use two ultra-accurate sequencing methods and demographic modeling to directly estimate the effective transmission bottleneck between host generations\, finding it to be roughly eight symbionts\, orders of magnitude below prior cell-count estimates. I also present two tools for population genomics at scale: snpArcher\, a reproducible variant calling workflow developed for the California Conservation Genomics Project and now used across hundreds of species and tens of thousands of samples; and clam\, a Rust-based tool that efficiently estimates population genetic statistics by leveraging callable loci\, producing results identical to existing all-sites approaches at a fraction of the computational cost. Together\, these projects demonstrate how tailored computational approaches can unlock biological insight across diverse systems and scales. \nEvent Host: Cade Mirchandani\, Ph.D. Candidate\, Biomolecular Engineering & Bioinformatics \nAdvisors: Russ Corbett-Detig & Shelbi Russell \nZoom- https://ucsc.zoom.us/j/98034081971?pwd=L5RoKoNEFxyapNhSRoXC8os2K2YZwv.1
URL:https://events.ucsc.edu/event/mirchandani-c-bmeb-population-and-evolutionary-genomics-across-ecological-scales/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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DTSTART;TZID=America/Los_Angeles:20260415T173000
DTEND;TZID=America/Los_Angeles:20260415T203000
DTSTAMP:20260506T040258
CREATED:20260325T220453Z
LAST-MODIFIED:20260402T171331Z
UID:10011772-1776274200-1776285000@events.ucsc.edu
SUMMARY:Kraw Lecture: At the Forefront of AI: Innovation and Discovery
DESCRIPTION:Artificial intelligence is transforming how we understand and solve the world’s most complex challenges—while at the same time causing new challenges and concerns. We invite you to join us for a special UC Santa Cruz Kraw Lecture showcasing the faculty whose groundbreaking research in artificial intelligence is transforming science\, technology\, and society. From advances in autonomous systems and natural language processing to the development of sustainable and responsible AI\, this conversation will highlight the innovative work taking place across disciplines and the real-world impact it is poised to have. \nModerated by special guest Ahmad Thomas\, CEO of the Silicon Valley Leadership Group (SVLG)\, this dynamic discussion will bring together leading researchers to explore how these technologies are shaping the future—accelerating discovery\, addressing complex global challenges\, and opening new frontiers for collaboration. Gain insight into the ideas\, discoveries\, and collaborations shaping the next generation of artificial intelligence research and hear from the leaders advancing this work.\n \n\n\nIn-Person Reception: 5:30 p.m.\nLecture: 6:15 p.m.\n\nRegister Now
URL:https://events.ucsc.edu/event/kraw-lecture-at-the-forefront-of-ai-innovation-and-discovery/
LOCATION:The Quad Conference Center\, 2400 Sand Hill Rd\, Menlo Park\, CA\, 94025\, United States
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T120000
DTEND;TZID=America/Los_Angeles:20260415T130000
DTSTAMP:20260506T040258
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000281-1776254400-1776258000@events.ucsc.edu
SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-15/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260415T110000
DTEND;TZID=America/Los_Angeles:20260415T121500
DTSTAMP:20260506T040258
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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260414T140000
DTEND;TZID=America/Los_Angeles:20260414T160000
DTSTAMP:20260506T040258
CREATED:20260326T162922Z
LAST-MODIFIED:20260326T162922Z
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SUMMARY:Castello\, J. (CSE) - Space Mission Simulation From the Outside In
DESCRIPTION:Robotic space missions often use discrete event simulation to reduce risk in operation. A simulation applies a set of planned activities to a model of mission resources\, and the model’s observed behavior is used to predict real-world outcomes. However\, logically concurrent activities are typically simulated under one possible linearization of their events – an order that may not reflect the eventual reality. Some simulation systems provide mechanisms for controlling the order of events; but this is a solution to a self-imposed problem. We instead question the assumption causing this problem: that events are totally ordered to begin with. \nWe study Merlin\, an open-source simulator developed at Caltech’s Jet Propulsion Laboratory and designed by the author\, that exchanges the traditional total order of events for a *partial* order. Under this approach\, a resumed activity can only observe events that causally precede its resumption\, and concurrent events are reconciled under custom policies. However\, the resulting design is more complex (and less understood) than that of linearizing simulators\, obscuring its key insights. As such\, we have developed Eidolon: a compact core calculus for Merlin-style simulation whose operational semantics follows an “outside-in”\, substitution-based execution model. Although Eidolon is derived from the concepts present in Merlin\, we intend it to be a vehicle for exploring non-linearizing simulation in general. \nFirst\, we propose making Eidolon *incremental*: a change to the set of planned activities should not incur a full resimulation from scratch except in the worse case\, instead reusing any cached computations that are not sensitive to the change. Since mission planning is a highly iterative process involving many simulations and subsequent tweaks to the plan\, incremental resimulation may allow plans to be finalized in less time\, or allow higher-quality plans to be obtained in the same amount of time. The substitution-oriented approach of Eidolon is what makes this feasible\, since individual computations align cleanly with subtree boundaries. \nSecond\, in the spirit of Reynolds’ defunctionalization and Danvy’s rational reconstruction\, we propose developing a denotational semantics for Eidolon and demonstrating its mechanical conversion into an abstract machine. As a mathematical artifact\, Eidolon is designed for reasoning and legibility rather than efficiency; nonetheless\, defunctionalization allows us to *refactor* our semantics into something that stands a chance of being practical. In particular\, defunctionalization reifies the recursive structure of a denotational semantics into an explicit data structure. As a result\, the defunctionalized form of Eidolon will recover an explicit priority queue like that of traditional linearizing simulators\, but without their assumption of total ordering. \nEvent Host: Jonathan Castello\, Ph.D. Student\, Computer Science and Engineering \nAdvisor: Lindsey Kuper  \nZoom- https://ucsc.zoom.us/j/98171466380?pwd=L2rkpr8tEt0MZamYbxxPTfvhAd4gl6.1 \nPasscode- 990848 \n 
URL:https://events.ucsc.edu/event/castello-j-cse-space-mission-simulation-from-the-outside-in/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260414T130000
DTEND;TZID=America/Los_Angeles:20260414T170000
DTSTAMP:20260506T040258
CREATED:20260410T064650Z
LAST-MODIFIED:20260410T064650Z
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SUMMARY:Gen AI Dev Tools Bootcamp with AWS
DESCRIPTION:Are you curious about generative AI development tools and vibe coding? \nJoin us for an excitng in-person boot camp where you will take part in a hands-on lab that will introduce you to the fundamentals of this rapidly growing field. \nHere’s the tentative schedule: \n1:00 – 1:45 – Intro to AI/ML \n1:45 – 2:45 – Hands-on developers workshop \n3:00 – 3:20 – Student demos \n3:20 – 3:50 – Career panel \n3:50 – 4:00 – Kahoot and closing (with giveaways) \n  \nIMPORTANT NOTE: Because participants will be given a temporary AWS account\, all attendees MUST register in advance!!! That means that registration will close on April 6th\, no exceptions! \nIf 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/gen-ai-dev-tools-bootcamp-with-aws/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Undergraduate
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260506T040258
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260506T040258
CREATED:20260312T223749Z
LAST-MODIFIED:20260312T223836Z
UID:10011318-1776096000-1776099600@events.ucsc.edu
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/
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T132000
DTEND;TZID=America/Los_Angeles:20260413T142500
DTSTAMP:20260506T040258
CREATED:20260409T223335Z
LAST-MODIFIED:20260409T223335Z
UID:10012089-1776086400-1776090300@events.ucsc.edu
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260413T104000
DTEND;TZID=America/Los_Angeles:20260413T114500
DTSTAMP:20260506T040258
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260410T132000
DTEND;TZID=America/Los_Angeles:20260410T142500
DTSTAMP:20260506T040258
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260409T100000
DTEND;TZID=America/Los_Angeles:20260409T120000
DTSTAMP:20260506T040258
CREATED:20260325T172250Z
LAST-MODIFIED:20260325T172250Z
UID:10011766-1775728800-1775736000@events.ucsc.edu
SUMMARY:Ticknor\, B. (STAT) - Clustering and Tractable Multivariate Inference for Extremes
DESCRIPTION:Modeling environmental extremes often involves large collections of spatial or temporal records where both clustering similar series and modeling dependence among extremes are challenging tasks. This Ph.D. proposal addresses several related problems in extreme value analysis. In particular\, we study how to cluster many time series based on their extremal behavior using strategies defined via univariate extremal models\, motivated by an application to 975 coastal wave-height records. We also investigate the development of scalable multivariate models for dependent extremes. A tractable construction based on a latent multivariate $t$ process with generalized extreme value margins is proposed\, together with a regularization strategy that encourages extremal dependence consistent with a max-stable limit while preserving likelihood-based inference. Together\, these efforts aim to provide practical tools for analyzing large collections of environmental extremes. \nEvent Host: Benjamin Ticknor\, Ph.D. Student\, Statistical Science \nAdvisor: Robert Lund \nZoom- https://ucsc.zoom.us/j/94347069554?pwd=21jbzUIlbopj2OFRySIHmBV11Ngoef.1 \nPasscode- 822764 \n 
URL:https://events.ucsc.edu/event/ticknor-b-stat-clustering-and-tractable-multivariate-inference-for-extremes/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260408T180000
DTEND;TZID=America/Los_Angeles:20260408T190000
DTSTAMP:20260506T040258
CREATED:20260213T211012Z
LAST-MODIFIED:20260305T171540Z
UID:10009222-1775671200-1775674800@events.ucsc.edu
SUMMARY:What's new in AI?
DESCRIPTION:Lead innovation as a machine learning engineer \nWant to learn what’s new in AI? Join Praveen Krishna\, chair of the Artificial Intelligence Application Development certificate program\, in an informal discussion about the AI topic of the month and an open Q&A. You’ll get an insider’s look at what you need to know for where you want to go. Bring your questions. Share your experience. Plan your learning. \nEvery 2nd Wednesday | Online\nVisit our program page for a closer look at our AI App Development courses and offerings. \nRegister.
URL:https://events.ucsc.edu/event/whats-new-in-ai-2/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training
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GEO:37.3796975;-121.9765484
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260407T114000
DTEND;TZID=America/Los_Angeles:20260407T131500
DTSTAMP:20260506T040258
CREATED:20260306T222258Z
LAST-MODIFIED:20260306T222514Z
UID:10009412-1775562000-1775567700@events.ucsc.edu
SUMMARY:Next Wave of Faculty in Genomics Symposium
DESCRIPTION:The BME Department and Genomics Institute are once again hosting our annual Next Wave of Faculty in Genomics Symposium\, which will be held on April 7th from 11:40–1:15 in E2 180. Please join us to hear cutting-edge genomics talks from outstanding postdocs from around the country! \nA burrito reception catered by Alebrije’s will follow immediately after the talks. Registration is free\, but required\, so please RSVP HERE!  \nThis year’s speakers include:  \n\nDr. Yutong Wang\, UC San Francisco\nTalk title: “A genome-wide CRISPR activation screen of surface protein expression in primary human CD4 T cells”\nDr. Ian Traniello\, Princeton\nTalk title: “The Making of a Queen: Neurogenomic Building Blocks of Social Dominance in Bee Societies”\nDr. Alex Cope\, Vanderbilt University\nTalk title: “Unlocking the rules of proteome evolution by integrating evolutionary theory\, mechanistic models\, and functional genomics”\nDr. Conner Langeberg\, UC Berkeley\nTalk title: “Interpreting RNA Foundation Models to Reveal Structure\, Function\, and Biological Organization”
URL:https://events.ucsc.edu/event/next-wave-of-faculty-in-genomics-symposium/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260406T160000
DTEND;TZID=America/Los_Angeles:20260406T170000
DTSTAMP:20260506T040258
CREATED:20260318T171956Z
LAST-MODIFIED:20260318T171956Z
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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/
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260406T160000
DTEND;TZID=America/Los_Angeles:20260406T170000
DTSTAMP:20260506T040258
CREATED:20260204T222651Z
LAST-MODIFIED:20260325T181208Z
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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/
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260403T132000
DTEND;TZID=America/Los_Angeles:20260403T142500
DTSTAMP:20260506T040258
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
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260402T114000
DTEND;TZID=America/Los_Angeles:20260402T131500
DTSTAMP:20260506T040258
CREATED:20260401T004313Z
LAST-MODIFIED:20260401T004313Z
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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
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260402T090000
DTEND;TZID=America/Los_Angeles:20260402T110000
DTSTAMP:20260506T040258
CREATED:20260312T191832Z
LAST-MODIFIED:20260312T191832Z
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SUMMARY:Learn to use the UCSC Genome Browser
DESCRIPTION:The UCSC Genome Browser is hosting a free workshop for new and advanced users!\n\nBeginner session starts at 9 and will include:\n\nHow to understand genome annotations\nHow to find annotation data\nOverview of training resources\n\nIntermediate + advanced session starts at 10\, covering\n\nCustom tracks\nTrack hubs\nBLAT\nAnd more!!\n\n\nJoin us and be the FIRST to see a brand new feature! At the end we’ll have free stickers and a chance to ask the team questions.\n\nBring your laptop to follow along\, and we encourage questions. See you April 2nd in E2 180.
URL:https://events.ucsc.edu/event/learn-to-use-the-ucsc-genome-browser/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Training,Workshop
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T120000
DTEND;TZID=America/Los_Angeles:20260401T130000
DTSTAMP:20260506T040258
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
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SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-01/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T110000
DTEND;TZID=America/Los_Angeles:20260401T121500
DTSTAMP:20260506T040258
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
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