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DTSTART;TZID=America/Los_Angeles:20260122T080000
DTEND;TZID=America/Los_Angeles:20260122T170000
DTSTAMP:20260403T164600
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SUMMARY:HSI Equity Talk
DESCRIPTION:Title: Understanding the advising praxes central to student success at a four-year Hispanic-Serving Research Institution \nPresenter: Dr. Lydia Iyeczohua Zendejas \nLocation: Via Zoom (link provided via RSVP) \nAbstract: Higher education scholars increasingly recognize academic advising as a critical strategy for supporting the persistence of systemically marginalized students. Since the 1990s\, UC Santa Cruz has undergone significant growth and demographic shifts—undergraduate enrollment grew from 10\,269 in 1999 to 17\,517 in 2019\, with sharp increases in underrepresented\, first-generation\, and Hispanic students—creating both challenges and opportunities for advancing equitable outcomes. \nDr. Zendejas’s interview-based qualitative study examines how UCSC’s decentralized\, dual shared advising model shapes advisors’ ability to provide holistic\, culturally responsive advising. In this HSI equity talk\, she will share how advising structures\, practices\, and policies impact advisors’ capacity to support students\, how the current model can act as a structural barrier to collaboration\, and the advising praxis advisors identify as essential to student success\, persistence\, and retention. \nPlease complete this RSVP form if you plan to attend. The Zoom information and a calendar invitation will be sent to those who RSVP. 
URL:https://events.ucsc.edu/event/hsi-equity-talk/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260122T114000
DTEND;TZID=America/Los_Angeles:20260122T131500
DTSTAMP:20260403T164600
CREATED:20260115T232014Z
LAST-MODIFIED:20260115T232014Z
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SUMMARY:BME Seminar: Rotation Talks
DESCRIPTION:Presenter: Grad Students \nDescription: Rotation Talks \nBio: N/A \nHosted by: Professor Rebecca DuBois\, BME Department
URL:https://events.ucsc.edu/event/bme-seminar-rotation-talks/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260122T153000
DTEND;TZID=America/Los_Angeles:20260122T170000
DTSTAMP:20260403T164600
CREATED:20260112T192243Z
LAST-MODIFIED:20260112T192243Z
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SUMMARY:Renowned climatologist Zeke Hausfather speaks on "Progress and Peril in a Warming World"
DESCRIPTION:Zeke Hausfather\, noted climate scientist\, is the climate lead at Stripe\, writes for Carbon Brief\, and is affiliated with Berkeley Earth and the Breakthrough Institute. He is a lead author on the  IPCC AR7 report.  His blog\, The Climate Brink\, is one of the most popular go-to spots for climate information on Substack. \nDr. Hausfather’s presentation abstract follows: \nRecent progress on climate policy coupled with more rapid than expected declines in clean energy costs have bent down the curve of future emissions. Growing consensus is that 21st century warming will likely remain below 3˚C. \nHowever it is difficult to fully preclude an eventual warming of 4˚C or more under a current policy world if there are continued positive emissions after 2100\, or if carbon cycle feedbacks and climate sensitivity are on the high end of current estimates. \nThis talk will review our current climate trajectory and its impacts and assess measures needed to further reduce future warming and hedge against climate tail risks. \nPlease come in person to the Center for Adaptive Optics atrium\, or zoom in to https://us02web.zoom.us/j/84461520550?pwd=9BaUYofFdp9JfHg3x8CJdH3RBt5eDm.1 \nA special Q&A session for undergraduates will be held at the CfAO atrium from 2-3! \nCfAO is adjacent to Earth and Marine Sciences and Natural Sciences II. \n 
URL:https://events.ucsc.edu/event/renowned-climatologist-zeke-hausfather-speaks-on-progress-and-peril-in-a-warming-world/
LOCATION:Center for Adaptive Optics\, 7487 Red Hill Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260123T093000
DTEND;TZID=America/Los_Angeles:20260123T110000
DTSTAMP:20260403T164600
CREATED:20260120T223725Z
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SUMMARY:Sharma\, R. (CSE) - Automatically Evolving GPU Libraries for Performance Portable AI Kernels
DESCRIPTION:GPUs are the workhorses of modern AI\, widely deployed and developed by many vendors including Apple\, Qualcomm\, Intel\, AMD\, and NVIDIA. While these GPUs all offer high compute potential\, programming them effectively is difficult because they differ in performance-critical features like SIMT width\, cache capacity\, and memory bandwidth\, demanding different optimization strategies. Tunable kernels address this by exposing parameters such as tiling dimensions and workgroup sizes\, enabling per-device specialization. Yet this produces static libraries: tuned once\, then frozen\, degrading as new hardware emerges. We propose automatically evolving libraries that expand their tuning knowledge as new hardware emerges\, with minimal impact on user experience. \nTo build such libraries\, we first need to understand the tuning landscape. We address this through GPU Goldmines\, a WebGPU-based framework for exhaustively collecting tuning data across diverse devices. Our tuned matrix multiplication kernels outperform an optimized baseline by 8.4x on average\, while matrix-vector kernels achieve 93% of platform bandwidth. We find that hyper-tuning for a single GPU causes 50% performance degradation on other devices\, whereas data-driven portability methods recover 88% of peak performance. These kernels are fundamental to the prefill and decode phases of LLM inference. We integrate them into llama.cpp as our evaluation platform\, where they outperform CPU and Vulkan backends. \nBuilding on this data\, we are developing Living Libraries to improve performance continuously without disrupting users. This means choosing good parameters upfront\, learning from real-world execution\, and knowing when to keep searching versus when to stop\, though hand-designed parameter spaces remain inherently bounded. To move beyond this\, we extend toward LLM-based kernel evolution\, where language models propose entirely new kernel variants\, opening a less structured but higher potential search space. \nEvent Host: Rithik Sharma\, Ph.D. Student\, Computer Science and Engineering \nAdvisor: Tyler Sorensen & Yuanchao Xu   \n  \nZoom: https://ucsc.zoom.us/j/92739836317?pwd=0ydDzimUFIoaLDUKst96dk27th4lvW.1 \nPasscode: 089560
URL:https://events.ucsc.edu/event/sharma-r-cse-automatically-evolving-gpu-libraries-for-performance-portable-ai-kernels/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260123T120000
DTEND;TZID=America/Los_Angeles:20260123T130000
DTSTAMP:20260403T164600
CREATED:20260120T214846Z
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SUMMARY:Statistics Seminar: Heterogeneous Statistical Transfer Learning
DESCRIPTION:Presenter: Subhadeep Paul\, Associate Professor\, Ohio State University \nDescription: In the first part of the talk\, we consider the problem of Transfer Learning (TL) under heterogeneity from a source to a new target domain for high-dimensional regression with differing feature sets. Most homogeneous TL methods assume that target and source domains share the same feature space\, which limits their practical applicability. In applications\, the target and source features are frequently different due to the inability to measure certain variables in data-poor target environments. Conversely\, existing heterogeneous TL methods do not provide statistical error guarantees\, limiting their utility for scientific discovery.  Our method first learns a feature map between the missing and observed features\, leveraging the vast source data\, and then imputes the missing features in the target. Using the combined matched and imputed features\, we then perform a two-step transfer learning for penalized regression. We develop upper bounds on estimation and prediction errors\, assuming that the source and target parameters differ sparsely but without assuming sparsity in the target model. We obtain results for both when the feature map is linear and when it is nonparametrically specified as unknown functions.  Our results elucidate how estimation and prediction errors of HTL depend on the model’s complexity\, sample size\, the quality and differences in feature maps\, and differences in the models across domains. In the second part of the talk\, going beyond linear models\, I will discuss a transfer learning method for nonparametric regression using a random forest. The unknown source and target regression functions are assumed to differ for a small number of features. Our method obtains residuals from a source domain-trained Centered RF (CRF) in the target domain\, then fits another CRF to these residuals with feature splitting probabilities proportional to feature-residual distance covariance. We derive an upper bound on the mean square error rate of the procedure that theoretically brings out the benefits of transfer learning in random forests. Our results explain why shallower trees in the residual random forest in the target domain provide implicit regularization. \nBio:Subhadeep Paul is an Associate Professor in the Department of Statistics at The Ohio State University. He is also a faculty fellow and previously served as a co-director of the foundations of data science and AI community at the Translational Data Analytics Institute at Ohio State. He received his PhD in Statistics from the University of Illinois at Urbana-Champaign in 2017. His research focuses on statistical analysis of complex network-linked data and transfer and federated statistical learning. His research has been funded by two NSF grants from the algorithms of threat detection and mathematics of digital twins programs. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/94465292273?pwd=bQ6MCX0OHYxHqgqNwbEYfgbKWqgNVy.1
URL:https://events.ucsc.edu/event/statistics-seminar-heterogeneous-statistical-transfer-learning/
LOCATION:https://ucsc.zoom.us/j/94465292273?pwd=bQ6MCX0OHYxHqgqNwbEYfgbKWqgNVy.1
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260125T130000
DTEND;TZID=America/Los_Angeles:20260125T150000
DTSTAMP:20260403T164600
CREATED:20251002T180146Z
LAST-MODIFIED:20251002T180146Z
UID:10000459-1769346000-1769353200@events.ucsc.edu
SUMMARY:Santa Cruz Pickwick Club presents: Bleak House
DESCRIPTION:Spontaneous human combustion! Evil lawyers! Detectives! Family intrigue! These all come together in Charles Dickens’s masterwork\, Bleak House. This year\, we will spend the year reading the 2026 Dickens Universe novel. Join Dickens enthusiasts and Pickwick Club members on Zoom for a series of discussions about this beloved book. \nRegister via Zoom \nReading Schedule:  \n\nOCT 26: Chapters 8-13\nNOV 23: Chapters 14-19\nDEC 28: No meeting\nJAN 25: Chapters 20-25\nFEB 22: Chpaters 26-32\nMAR 22: Chapters 33-38\nAPR 26: Chapters 39-46\nMAY 24: Chapters 47-53\nJUN 28: Chapters 54-67 (End)\n\nRecommended Edition: We recommend the Penguin Classics edition of the novel for its appendices and notes\, but other versions are fine. First-time readers should avoid the Introduction if they don’t want spoilers. Download the novel to read at Gutenburg.org or listen to it at LibriVox.org. \nThe Santa Cruz Pickwick (Book) Club\, a branch of the Dickens Fellowship\, is a community of local bookworms\, students\, and teachers who meet monthly to discuss a nineteenth-century novel. The Santa Cruz Public Libraries provide support for the reading group.
URL:https://events.ucsc.edu/event/santa-cruz-pickwick-club-presents-bleak-house-2/2026-01-25/
LOCATION:CA
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260125T170000
DTEND;TZID=America/Los_Angeles:20260125T193000
DTSTAMP:20260403T164600
CREATED:20260120T201338Z
LAST-MODIFIED:20260120T201542Z
UID:10008679-1769360400-1769369400@events.ucsc.edu
SUMMARY:Screening: Queering Movement\, Stories Embodied Film Shorts
DESCRIPTION:The IAS\, BBQueer Fest\, and Motion Pacific invite you to attend “Queering Movement: Stories Embodied\,” an evening celebrating short films by local Black\, brown and queer artists and dancers. The screening and Q&A with filmmakers and participants showcases the interplay of activism\, movement\, and performance. Social hour to follow! Light snacks and (non-alcoholic) refreshments will be provided. Films are in English\, with English subtitles. moss time\, crip time includes audio description as voice over. \nFilms:\nmoss time\, crip time (Cynthia Ling Lee.)\nTaste her Fruit\, Bless the Whore (Diana Mulan Zhu)\nLiberating Movement: Black\, Brown & Queer All Over (Helen Aldana & Megan Martinez Goltz)
URL:https://events.ucsc.edu/event/screening-queering-movement-stories-embodied-film-shorts/
LOCATION:Institute of the Arts and Sciences\, 100 Panetta Ave\, Santa Cruz\, United States
CATEGORIES:Film Screening
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260126T104000
DTEND;TZID=America/Los_Angeles:20260126T114500
DTSTAMP:20260403T164600
CREATED:20260112T223834Z
LAST-MODIFIED:20260112T223834Z
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SUMMARY:ECE Seminar: Tactile sensing: At the boundary between mechanical and computational intelligence in robotic grippers
DESCRIPTION:Presenter: Dr. Hannah Stuart\, Associate Professor in the Department of Mechanical Engineering\, University of California at Berkeley \nDescription: Robot grippers typically include mechanical intelligence (e.g.\, underactuation\, compliance) or computational intelligence (e.g.\, fully actuated with a wide array of sensors). Next generation grippers and hands will require both intelligences to work in concert across applications with resilience and dexterity. This talk will introduce the concept of mechanical and computational intelligence co-design through example case studies that focus on the particular importance of embodied sensitivity as a feature of the co-design process. For example\, the most recent work on the Smart Suction Cup\, conducted largely by Dr. Jungpyo Lee\, demonstrates how design decisions like the number of sensitive chambers influences the resultant robot arm controller as well as physical compliance and manufacturing feasibility and cost. \nBio: Dr. Hannah Stuart is an Associate Professor in the Department of Mechanical Engineering at the University of California at Berkeley. She received her BS in Mechanical Engineering at the George Washington University in 2011\, and her MS and PhD in Mechanical Engineering at Stanford University in 2013 and 2018\, respectively. Her research focuses on understanding the mechanics of physical interaction in order to better design systems for dexterous manipulation. Applications range from remote robotics to assistive orthotics. Recent awards include the NSF CAREER grant\, NASA Early Career Faculty grant\, Hellman Fellows Fund grant\, and Johnson & Johnson Women in STEM2D grant. She is a Senior Member of IEEE. \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-seminar-tactile-sensing-at-the-boundary-between-mechanical-and-computational-intelligence-in-robotic-grippers/
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:20260126T120000
DTEND;TZID=America/Los_Angeles:20260126T130000
DTSTAMP:20260403T164600
CREATED:20260121T182735Z
LAST-MODIFIED:20260121T182735Z
UID:10009084-1769428800-1769432400@events.ucsc.edu
SUMMARY:Statistics Seminar: Boosting Biomedical Imaging Analysis via Distributed Functional Regression and Synthetic Surrogates
DESCRIPTION:Presenter: Guannan Wang\, Associate Professor\, The College of William & Mary \nDescription: Generative AI has emerged as a powerful tool for synthesizing biomedical images\, offering new solutions to challenges such as data scarcity\, privacy constraints\, and modality imbalance. However\, the reliable use of synthetic images in scientific analysis requires principled statistical frameworks that can assess fidelity and rigorously quantify uncertainty. In this talk\, I present a distributed functional data analysis approach for comparing original and AI- generated biomedical images through their mean and covariance structures. Using spline-based representations on complex imaging domains\, we construct simultaneous confidence regions\, enabling formal inference on original-synthetic differences and providing statistical safeguards for downstream analyses. Building on this foundation\, I demonstrate how synthetic images can\nbe safely incorporated into functional regression models to learn spatially varying covariate effects when key imaging modalities are partially observed. Applications to large-scale neuroimaging studies illustrate how integrating generative AI with rigorous statistical inference enhances the reliability\, interpretability\, and scientific value of modern biomedical imaging analyses. \nBio: Guannan Wang is a Diamond Term Distinguished Associate Professor in the Department of Mathematics at William & Mary. She received a Ph.D. in Statistics and an M.S. in Computer Science from the University of Georgia in 2015. Her research focuses on the statistical foundations of generative AI\, distributed and federated learning\, and spatial and functional data analysis\, with applications to neuroimaging\, public health\, and environmental and social sciences. She has published over 30 peer-reviewed articles in leading statistical journals\, including JASA\, JCGS\, Statistica Sinica\, Biometrics\, and JMLR\, and her work has been supported by the NIH\, NSF\, and the Simons Foundation. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/92479478035?pwd=S6b9SNtCorApA04sISbDwWqaF3wyPZ.1
URL:https://events.ucsc.edu/event/statistics-seminar-boosting-biomedical-imaging-analysis-via-distributed-functional-regression-and-synthetic-surrogates/
LOCATION:https://ucsc.zoom.us/j/92479478035?pwd=S6b9SNtCorApA04sISbDwWqaF3wyPZ.1
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260126T123000
DTEND;TZID=America/Los_Angeles:20260126T133000
DTSTAMP:20260403T164600
CREATED:20260113T202943Z
LAST-MODIFIED:20260113T202943Z
UID:10008380-1769430600-1769434200@events.ucsc.edu
SUMMARY:CM Seminar - "Revealing Hidden Stories: Co-Designing the Thámien Ohlone Augmented Reality Tour"
DESCRIPTION:Presented by: Kai Lukoff \nDescription: \nThe Santa Clara University campus is adorned with symbols and monuments\, including a Spanish Mission Church\, that highlight its Catholic heritage. However\, the presence and history of the Ohlone Native Americans\, who have inhabited this land for thousands of years and continue to live in the region\, receive little to no recognition. How can we utilize augmented reality (AR) to share these hidden stories? \nIn collaboration with the Muwekma Ohlone Tribe\, our interdisciplinary team developed the Thámien Ohlone AR tour. This tour reveals hidden stories\, encourages visitors to engage in critical reflection\, and inspires visions of a more just future and received the Best Movie Award at CHI 2024\, the leading conference in the field of human-computer interaction. This talk will share insights on co-designing location-based AR experiences for social impact and explore the potential of AR in preserving cultural heritage. \nBio: Kai Lukoff is an assistant professor in the Department of Computer Science & Engineering at Santa Clara University. He leads the Human-Computer Interaction Lab\, focusing on technologies with social impact. His recent work focuses on co-design methods for location-based augmented reality. His research has been featured in prominent conferences such as CHI\, CSCW\, IMWUT\, and DIS\, and he was honored with the 2023 Outstanding Dissertation Award from ACM SIGCHI. \n  \nHosted by: Professor Sri Kurniawan \nWhen: Monday\, January 26\, 2026 from 12:30PM to 1:30PM \nLocation:  \nIN-PERSON @ UCSC Main Campus\, E2-280. \nViewing room @ SVC 3212. \nLUNCH WILL BE PROVIDED AT BOTH LOCATIONS! Faculty and students are highly encouraged to attend. \nZoom info: \nhttps://ucsc.zoom.us/j/95105219890?pwd=PXG6uexrh6P0Ry06aRkxfdTsLhaNhK.1\nMeeting ID: 951 0521 9890\nPasscode: 160917
URL:https://events.ucsc.edu/event/cm-seminar-revealing-hidden-stories-co-designing-the-thamien-ohlone-augmented-reality-tour/
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:20260126T160000
DTEND;TZID=America/Los_Angeles:20260126T170000
DTSTAMP:20260403T164600
CREATED:20260120T184336Z
LAST-MODIFIED:20260120T184604Z
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SUMMARY:AM Seminar: Probing Forced Responses and Causality in Data-Driven Climate Emulators: Conceptual Limitations and the Role of Reduced-Order Models
DESCRIPTION:Presenter: Fabrizio Falasca\, New York University \nDescription: A central challenge in climate science and applied mathematics is developing data-driven models of multiscale systems that capture both stationary statistics and responses to external perturbations. Current neural climate emulators aim to resolve the atmosphere–ocean system in all its complexity but often struggle to reproduce forced responses\, limiting their use in causal studies such as Green’s function experiments. To explore the origin of these limitations\, we first examine a simplified dynamical system that retains key features of climate variability. We argue that the ability of emulators of multiscale systems to reproduce perturbed statistics depends critically on (i) the choice of an appropriate coarse-grained representation and (ii) careful parameterizations of unresolved processes. These insights highlight reduced-order models\, tailored to specific goals\, processes\, and scales\, as valid alternatives to general-purpose emulators. We next consider a real-world application\, developing a neural model to investigate the joint variability of the surface temperature field and radiative fluxes. The model infers a multiplicative noise process directly from data\, largely reproduces the system’s probability distribution\, and enables causal studies through forced responses. We discuss its limitations and outline directions for future work. These results expose key challenges in data-driven modeling of multiscale physical systems and underscore the value of coarse-grained\, stochastic approaches.Throughout\, we propose linear response theory as a rigorous framework for evaluating neural models beyond stationary statistics\, probing causal mechanisms\, and guiding model design. \nBio: Fabrizio Falasca is physicist working at the intersection of statistical physics\, applied mathematics and climate science. He acquired his master degree in Physics of Complex Systems in the University of Turin in Italy. He then moved to Atlanta to pursue a PhD in Climate Science under the supervision of Annalisa Bracco. In the last 5 years he has been working in the Courant Institute of Mathematical Science in the group of Laure Zanna. His work span response theory\, causal inference\, data-driven modeling\, and their applications to climate dynamics and change. \n\n\n\n\n\nHosted by: Applied Mathematics \nZoom Link: https://ucsc.zoom.us/j/97450297092?pwd=Bp4GIgR8dAuBeCd1Sz9vXo8unkYWQW.1
URL:https://events.ucsc.edu/event/am-seminar-probing-forced-responses-and-causality-in-data-driven-climate-emulators-conceptual-limitations-and-the-role-of-reduced-order-models/
LOCATION: https://ucsc.zoom.us/j/97450297092?pwd=Bp4GIgR8dAuBeCd1Sz9vXo8unkYWQW.1
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260128T110000
DTEND;TZID=America/Los_Angeles:20260128T121500
DTSTAMP:20260403T164600
CREATED:20260120T191337Z
LAST-MODIFIED:20260120T191337Z
UID:10008678-1769598000-1769602500@events.ucsc.edu
SUMMARY:CSE Colloquium - Towards Relational Foundation Models: Zero-Shot Forecasting over Relational Databases
DESCRIPTION:Presenter: Charilaos I. Kanatsoulis\, Stanford University \nAbstract: Foundation models have transformed unstructured domains such as language and vision\, yet relational datasets\, where most enterprise knowledge lives\, still rely on brittle\, task-specific ML pipelines. I will begin by introducing Relational Deep Learning (RDL)\, a general framework for learning directly from heterogeneous multi-table data\, capturing structure across entities\, attributes\, and relationships without handcrafted schemas or features. \nBuilding on this paradigm\, I will present the Relational Transformer (RT)\, a schema-invariant model pretrained across diverse relational databases that performs structural learning with in-context information and transfers zero-shot to new databases and predictive tasks. By modeling both inter- and intra-table dependencies and reframing prediction as pattern recognition inside a unified latent relational space\, RT represents a concrete step toward relational foundation models that can be prompted\, reused\, and generalized for new problems. \nBio: Charilaos I. Kanatsoulis is a Research Scientist in the Department of Computer Science at Stanford University. He previously was a Postdoctoral Researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania and received his Ph.D. in Electrical and Computer Engineering from the University of Minnesota\, Twin Cities. His research lies at the intersection of machine learning and signal processing\, with a focus on Transformer and foundation model design for structured data\, graph representation learning\, tensor analysis\, and explainable AI. His work has been recognized with the Best Paper Award at the KDD Temporal Graph Learning Workshop (2025) and the Best Student Paper Award at IEEE CAMSAP (2023). He co-instructs CS246 and CS224W at Stanford and previously taught ESE 5140 at Penn. He has organized several community events\, including the Graph Signal Processing short course at IEEE ICASSP 2023\, the Stanford Graph Learning Workshop (2024–2025)\, the Relational Deep Learning tutorial at ACM KDD 2025\, and the New Perspectives in Advancing Graph Machine Learning Workshop at NeurIPS 2025. \nHosted by: Professor Nikos Tziavelis \nLocation: Engineering 2\, Room E2-180 (Refreshments such as coffee\, pastries\, and fruit will be provided.) \nZoom: https://ucsc.zoom.us/j/93445911992?pwd=YkJ2TQtF79h0PcNXbEcpZLbpK0coiY.1&jst=3
URL:https://events.ucsc.edu/event/cse-colloquium-towards-relational-foundation-models-zero-shot-forecasting-over-relational-databases/
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:20260128T120000
DTEND;TZID=America/Los_Angeles:20260128T130000
DTSTAMP:20260403T164600
CREATED:20260121T235125Z
LAST-MODIFIED:20260128T171042Z
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SUMMARY:Statistics Seminar:  Inferring Unobserved Trajectories from Multiple Temporal Snapshots
DESCRIPTION:Presenter: Yunyi Shen\, Ph.D. Candidate\, Department of Electrical Engineering and Computer Science\, Massachusetts Institute of Technology \n\nDescription: Practitioners often aim to infer an unobserved population trajectory using sample snapshots at multiple time points. E.g. given single-cell sequencing data\, scientists would like to learn how gene expression changes over a cell’s life cycle. But sequencing any cell destroys that cell. So we can access data for any particular cell only at a single time point\, but we have data across many cells. The deep learning community has recently explored using Schrödinger bridges (SBs) and their extensions in similar settings. However\, existing methods either (1) interpolate between just two time points or (2) require a single fixed reference dynamic (often set to Brownian motion within SBs). But learning piecewise from adjacent time points can fail to capture long-term dependencies. And practitioners are typically able to specify a model family for the reference dynamic but not the exact values of the parameters within it. So I propose a new method that (1) learns the unobserved trajectories from sample snapshots across multiple time points and (2) requires specification only of a family of reference dynamics\, not a single fixed one. I demonstrate the advantages of my method on simulated and real data\, across applications in biology and oceanography. \nBio: Yunyi Shen is currently a Ph.D. candidate in the Department of Electrical Engineering and Computer Science at MIT. He works in probabilistic machine learning and statistics on problems where data are scarce or noisy\, and as a result require adaptive data collection\, incorporation of domain-specific structure\, and careful downstream evaluation. Drawing on a background in the physical and life sciences\, his work is shaped by close interdisciplinary collaborations and motivated by scientific problems in biology and physics\, such as gene regulation\, fluid dynamics in cells\, wildlife monitoring\, and time-domain astronomy. \nHosted by: Statistics Department  \nZoom link: https://ucsc.zoom.us/j/93769232971?pwd=msPkbjtoK3LiI9qHjLT1bv8idV23qU.1
URL:https://events.ucsc.edu/event/statistics-seminar-inferring-unobserved-trajectories-from-multiple-temporal-snapshots/
LOCATION:https://ucsc.zoom.us/j/93769232971?pwd=msPkbjtoK3LiI9qHjLT1bv8idV23qU.1
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260128T160000
DTEND;TZID=America/Los_Angeles:20260128T173500
DTSTAMP:20260403T164600
CREATED:20260126T232823Z
LAST-MODIFIED:20260126T233121Z
UID:10009099-1769616000-1769621700@events.ucsc.edu
SUMMARY:Ancestral Algorithms: Indigenous Virtual Realities & the Ethics of AI
DESCRIPTION:This talk explores how Indigenous analytic and ancestral technologies\, rooted in technē as craft\, knowledge\, and skilled practice\, inform contemporary digital forms such as Virtual Reality and AI. It traces how ancestral memory is transferred\, adapted\, and sustained across generations through decolonial and anti-colonial frameworks\, while critically engaging both the generative possibilities and the structural pitfalls of digital technologies as they shape relational\, technological futures. \nThis event is presented as part of the Creative Interventions (CI) series and is co-sponsored by the Arts Division’s Creative Technologies program and Porter College at UC Santa Cruz.\n—\nADMISSION\n– Free and open to UCSC affiliates.\n– This is an online event.\n– Registration is required here.\n—\nFULL SCHEDULE OF EVENTS\n– Event dates to be announced throughout the 2025-26 academic year.\n—\nABOUT THE SERIES\nCreative Interventions addresses the interconnected work of artists\, designers\, activists\, and knowledge workers—and the intrinsic and transformative capacity of that work to cultivate a just society. More information about the Creative Technologies program.\n—\nThis program is open to all UC Santa Cruz affiliates consistent with state and federal law.
URL:https://events.ucsc.edu/event/ancestral-algorithms/
LOCATION:CA
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260129T114000
DTEND;TZID=America/Los_Angeles:20260129T131500
DTSTAMP:20260403T164600
CREATED:20260122T232352Z
LAST-MODIFIED:20260122T232352Z
UID:10009095-1769686800-1769692500@events.ucsc.edu
SUMMARY:BME 280B Seminar: Satellite repeats encode megabase-scale transcription factor hubs
DESCRIPTION:Presenter: Matt Franklin\, Postdoctoral Researcher\, Stanford University \nDescription: Eukaryotic genomes contain large stretches of repetitive DNA called satellite DNA\, often found near centromeres and ribosomal DNA regions. In humans\, alpha satellite has well-established roles in centromere biology\, however the functions of other human satellite DNAs remain largely unexplored. \nWe recently identified the Hippo pathway effector TEAD as a novel Human Satellite 3 (HSat3) binding TF. Because HSat3 is highly enriched near ribosomal DNA (rDNA) genes\, we examined whether the Hippo pathway regulates rDNA via HSat3. Our work demonstrates that HSat3 localizes the Hippo factors YAP and TEAD inside the nucleolus\, where YAP directly activates ribosomal RNA (rRNA) transcription. These findings present the first evidence that the Hippo pathway factor YAP directly regulates RNA Polymerase I activity. \nDisparate studies have identified examples of transcription factors that bind repetitive DNA elements through motif recognition. However\, a systematic search for such factors has not been conducted. Using Telomere-to-telomere genome assemblies\, we predicted and validated dozens of new satellite-binding TFs\, many of which are part of highly conserved signaling pathways. Beyond revealing a direct relationship between the Hippo pathway and ribosomal DNA regulation\, this work demonstrates that satellite DNA can encode a broad range of functional motifs\, hinting at new roles for these enormous genomic elements. \nBio: Following his undergraduate studies\, Matt conducted a 1-year research fellowship at EMBL Hamburg\, where he worked on X-ray scattering methods for structural biology. He then earned his PhD in chemical engineering at Stanford University\, where he investigated mechanotransduction and Hippo pathway signaling. Matt continued this research as a postdoc under Kun-Liang Guan at UC San Diego\, where he discovered that Hippo pathway effectors bind repetitive DNA elements. To expand on his newfound interest in repetitive DNA\, Matt returned to Stanford as a postdoctoral researcher under Nicolas Altemose\, where he is studying the functions of satellite repeats as hubs for transcription factor binding. \nHosted by: Professor Karen Miga\, BME Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-satellite-repeats-encode-megabase-scale-transcription-factor-hubs/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260129T130000
DTEND;TZID=America/Los_Angeles:20260129T163000
DTSTAMP:20260403T164600
CREATED:20260105T180456Z
LAST-MODIFIED:20260105T180456Z
UID:10008159-1769691600-1769704200@events.ucsc.edu
SUMMARY:Allen van Gelder Memorial
DESCRIPTION:You are cordially invited to an event celebrating the life and research legacy of Allen van Gelder\, who passed away in April 2025 after 37 years of dedicated service to the Computer Science and Engineering Department at UC Santa Cruz. \nThursday\, January 29\, 2025\nReception begins 1pm\, Program begins 1:30pm\nAlumni Room\, University Center\, UC Santa Cruz \nPlease RSVP via the following link:\nhttps://forms.gle/iyFTL2aAxLMWdRMU9 \nThe gathering will include three presentations reflecting on Allen’s contributions to computer science\, followed by an opportunity for attendees to share remembrances and stories \nOn Allen’s contributions to databases and logic programming\nJeff Ullman\, Stanford W. Ascherman Professor of Computer Science (Emeritus)\, Computer Science Department\, Stanford University \nOn Allen’s contributions to computer graphics and visualization\nClaudio Silva\, Institute Professor of Computer Science and Engineering\, NYU Tandon School of Engineering\, New York University \nOn Allen’s contributions to satisfiability\nOlaf Beyersdorff\, Professor of Theoretical Computer Science\, Institute of Computer Science\, Friedrich Schiller University Jena \nWhether you were a colleague\, student\, or friend\, we hope you’ll join us in celebrating Allen’s career and its impact.
URL:https://events.ucsc.edu/event/allen-van-gelder-memorial/
LOCATION:University Center\, University Center\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars,Social Gathering
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260129T173000
DTEND;TZID=America/Los_Angeles:20260129T183000
DTSTAMP:20260403T164600
CREATED:20251216T190739Z
LAST-MODIFIED:20260122T014839Z
UID:10005851-1769707800-1769711400@events.ucsc.edu
SUMMARY:Unlock Your Career: 10 Essential Strategies for Success in an AI-Driven World
DESCRIPTION:Are you ready to thrive in today’s fast-moving professional world — especially in one shaped by innovation\, technology\, and AI?  Success in today’s AI-driven economy requires more than technical skills—it demands the right mindset\, habits\, and career strategy. Whether you’re early in your career\, navigating a transition\, or pushing for your next breakthrough\, this workshop will help you accelerate your professional impact with confidence and clarity. \nIn this Dean Series workshop\, Dean PK Agarwal shares practical\, real-world insights drawn from leadership roles across industry\, academia\, and government. Participants will learn how to create value in any role\, stay relevant as careers evolve\, and build professional resilience in times of change. \n\nIdentify the traits and mindsets that separate high performers from the rest\nLearn how to add value and stand out in any organization\nExplore strategies for continuous learning in an AI-enabled workplace\nPick up tips to build and leverage professional networks effectively\nGain insight into managing up and taking ownership of your career trajectory\nExamine your brand\, both in person and online\n\nThis event is part of the Dean Conversations: Pathways to professional success series.  \nClaim your seat!
URL:https://events.ucsc.edu/event/10-tips-for-career-success/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Silicon Valley Campus 3175 Bowers Avenue Santa Clara CA 95054 United States;X-APPLE-RADIUS=500;X-TITLE=3175 Bowers Avenue:geo:-121.9765484,37.3796975
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260129T180000
DTEND;TZID=America/Los_Angeles:20260129T193000
DTSTAMP:20260403T164600
CREATED:20260112T222854Z
LAST-MODIFIED:20260120T162905Z
UID:10008348-1769709600-1769715000@events.ucsc.edu
SUMMARY:Pesticide Impacts in and around Monterey Bay lecture
DESCRIPTION:The short- and long-term health impacts of pesticide use for local communities on land as well as in the ocean are addressed in a conversation with Yanely Martinez\, Katherine Gabriel-Cox\, Adam Scow and Logan Pallin. \nThis event is presented as part of as part of the Intersections of Climate Change series\, and is organized with the Friedlaender Lab\, in conjunction with the Weather and the Whale exhibition\, at the Institute of the Arts and Sciences.\n—\nFULL SCHEDULE OF EVENTS\n– Thu.\, Jan. 29\, 6:00 p.m.: Pesticide Impacts in and around Monterey Bay\n– Thu.\, Feb. 5\, 6:00 p.m.: Climate Justice and the Moss Landing Battery Fire\n– Wed.\, Feb. 11\, 6:00 p.m.: The California Firefighter Cancer Research Study with Shehnaz Hussain and Fire Captain Jamie Gabriel\n– Thu.\, Feb. 26\, 6:00 p.m.: The Whale Liberation Front—An electroacoustic performance and artist talk\n– Wed.\, March 4\, 6:00 p.m.: Unexpected Returns: The Historic Entanglements of Fire\, Settlement\, and Stewardship in the Santa Cruz Mountains\n—\nADMISSION\n– FREE and open to the public\n– Attend in person at the UC Santa Cruz Institute of the Arts and Sciences on the Westside in Santa Cruz\, Calif.\n—\nPARKING\n– The entrance to the Institute of the Arts and Sciences is on Delaware St. and has an accessibility ramp.\n– Free self-parking is available on Panetta Ave. and High Rd.\, immediately adjacent to the building.\n– Accessible parking is on High Rd.\n—\nThis program is open to all members of the public consistent with state and federal law.
URL:https://events.ucsc.edu/event/pesticides-impacts-in-and-around-monterey-bay-lecture/
LOCATION:Institute of the Arts and Sciences\, 100 Panetta Ave\, Santa Cruz\, United States
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260130T100000
DTEND;TZID=America/Los_Angeles:20260130T160000
DTSTAMP:20260403T164600
CREATED:20260109T005335Z
LAST-MODIFIED:20260109T005335Z
UID:10008337-1769767200-1769788800@events.ucsc.edu
SUMMARY:AI Workshop Series: AI in the Semiconductor Industry
DESCRIPTION:Explore how artificial intelligence is transforming the semiconductor industry—from design to manufacturing. \nIn this AI workshop\, students will examine how AI is being applied to chip design\, Electronic Design Automation (EDA)\, and production workflows\, with a focus on real-world use cases and emerging industry trends. Through expert insights and practical examples\, this session highlights how generative AI and advanced analytics are improving efficiency\, yield\, and innovation across the semiconductor lifecycle. \n\nApply AI tools to modern semiconductor design and manufacturing\nIdentify high-impact generative AI use cases in chip development\nUnderstand how AI is reshaping Electronic Design Automation (EDA)\nLeverage AI for yield improvement\, defect detection\, and process optimization\nStay informed on key trends shaping the future of AI in semiconductors\n\nFormat:\nThis is a hybrid course\, offered both in person and via Zoom. Participants are expected to attend and actively engage during the scheduled class time. Remote attendees are encouraged to keep cameras on to support an interactive learning experience. In-person participants should bring a laptop to each class session. \nThis course is part of the Winter 2026 AI Workshop series. \nEnroll in this workshop.
URL:https://events.ucsc.edu/event/ai-workshop-series-ai-in-the-semiconductor-industry/
LOCATION:Silicon Valley Campus\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations,Meetings & Conferences,Training,Workshop
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GEO:37.3796975;-121.9765484
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260201T120000
DTEND;TZID=America/Los_Angeles:20260201T150000
DTSTAMP:20260403T164600
CREATED:20260122T184703Z
LAST-MODIFIED:20260122T184706Z
UID:10008682-1769947200-1769958000@events.ucsc.edu
SUMMARY:Connect To Your Roots: BIPOC Herbalism
DESCRIPTION:The People of Color Sustainability Collective invites you to Connect To Your Roots! \nWe will be sharing and connecting with generational knowledge and empowering BIPOC to take control of their own food systems\, particularly medicinal herbs\, through a variety of educational hands-on activities. We aim for this event to enhance BIPOC visibility on campus\, and cultural awareness and preservation. Light refreshments provided! \n\n\nSalve making\nDIY tea/scent bags\nRecycled plant propagation\nNative plant bundling\n\nJoin us Sunday\, February 1st\, 2026 from 12:00PM to 3:00PM at the Community Herb Garden within UCSC Farm. \n\n\n\nFor accommodations or questions: pocsc@ucsc.edu \nRSVP at bit.ly/BIPOCHerbalism
URL:https://events.ucsc.edu/event/connect-to-your-roots-bipoc-herbalism/
LOCATION:UCSC Farm\, 152 Farm Rd\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Social Gathering,Workshop
ORGANIZER;CN="People of Color Sustainability Collective":MAILTO:pocsc@ucsc.edu
GEO:36.9834167;-122.0551622
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260202T104000
DTEND;TZID=America/Los_Angeles:20260202T114500
DTSTAMP:20260403T164601
CREATED:20260126T213156Z
LAST-MODIFIED:20260126T213348Z
UID:10009111-1770028800-1770032700@events.ucsc.edu
SUMMARY:ECE Seminar: Advanced Packaging as the Engine of the AI Systems Era
DESCRIPTION:Presenter: Tolga Acikalin\, System and Package Architect\, Lumilens \nDescription: The rapid rise of artificial intelligence and machine learning—most notably recent breakthroughs in large language models—is reshaping the trajectory of the semiconductor industry and ushering in a new era of system innovation. As performance scaling at the device level slows\, heterogeneous integration (HI) has emerged as a foundational technology to sustain advances in computing and communication. By integrating separately manufactured components with diverse functions into a single system\, HI enables new levels of functionality\, performance\, and efficiency that are no longer achievable through traditional scaling alone. \nRealizing the full potential of heterogeneous systems demands a shift toward holistic system-level co-design\, with advanced packaging assuming a central and strategic role. This talk will briefly review the evolution of packaging technologies and then focus on advanced packaging architectures that enable heterogeneous integration.Topics will include advances in 2D and 3D interconnect technologies\, the introduction of novel packaging materials such as glass substrates\, and the growing role of photonic links\, including co-packaged optics enabled by silicon photonics. The talk will conclude with a discussion of power delivery and thermal management as system-level challenges and opportunities that will shape the next generation of high-performance\, energy-efficient systems. \nBio: Tolga Acikalin received his Bachelor of Science degree in Mechanical Engineering from Middle East Technical University in Ankara\, Turkey\, and his Master of Science and Ph.D. degrees from Purdue University in West Lafayette\, Indiana. \nHe joined Intel in 2007 as a Research and Development Engineer\, working on assembly and test pathfinding projects within the Technology and Manufacturing Group in Chandler\, Arizona. From 2013 to 2025\, he was a Principal Engineer at Intel Labs in Santa Clara\, California\, where he led and influenced innovative strategies for heterogeneous system integration\, spanning package- to wafer-scale solutions\, with a strong emphasis on next-generation interconnect technologies. Tolga is currently a System and Package Architect at Lumilens\, where he focuses on next-generation photonic interconnect solutions\, ranging from near-packaged optics to co-packaged optics. \nHis technical interests include co-packaged optics and silicon photonics\, optical and sub-THz to THz RF high-speed interconnects and the associated advanced package architectures\, novel advanced packaging solutions such as glass substrates\, and optical computing. Tolga has authored or co-authored more than 15 peer-reviewed journal and conference publications in leading APS\, ASME\, and IEEE venues\, including best paper awards at IEEE RFIC and JSCC. He holds nine issued patents and more than 27 additional patent filings. \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-seminar-advanced-packaging-as-the-engine-of-the-ai-systems-era/
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:20260202T120000
DTEND;TZID=America/Los_Angeles:20260202T130000
DTSTAMP:20260403T164601
CREATED:20260122T191932Z
LAST-MODIFIED:20260128T171007Z
UID:10009093-1770033600-1770037200@events.ucsc.edu
SUMMARY:Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
DESCRIPTION:Presenter: Jiaqi Li\, William H. Kruskal Instructor\, University of Chicago \nDescription:Modern machine learning (ML) algorithms achieve remarkable empirical success\, yet providing rigorous statistical guarantees remains a major challenge\, particularly in distributional theory and online inference methods. In this talk\, we will introduce a novel framework to provide mathematical foundations for ML by bringing powerful tools in nonlinear time series. First\, we focus on the stochastic gradient descent (SGD) with constant learning rates. By interpreting the SGD sequence as a nonlinear AR(1) process\, we can establish the geometric moment contraction (GMC) for SGD regardless of initializations. By this GMC property\, we can derive refined asymptotic theory of SGD and its averaging variant\, including general moment convergence\, quenched central limit theorems\, quenched invariance principles\, and sharp Berry- Esseen bounds. Then\, we extend this theoretical framework to SGD with dropout regularization\, a widely used but theoretically underexplored technique in deep learning. By establishing GMC under explicit learning-rate and dimensional scaling regimes\, we obtain asymptotic normality and invariance principles for dropout SGD and its averaged version. These results enable online inference\, for which we introduce a fully recursive estimator of the long-run covariance matrix appearing in the limiting distributions. The proposed online confidence intervals with asymptotically correct coverage can be generalized to many other ML algorithms. Overall\, viewing online learning algorithms as nonlinear time series provides a powerful toolkit for deriving statistical guarantees in modern ML\, with implications for high-dimensional stochastic optimization and real-time uncertainty quantification. \nBio:Jiaqi Li is a William H. Kruskal Instructor in the Department of Statistics at the University of Chicago. She obtained her PhD in Statistics from Washington University in St. Louis in 2024. Her research focuses on developing theoretical guarantees and statistical inference methods for machine learning algorithms. She also works on time series data\, especially in the high- dimensional settings with complex temporal and cross-sectional dependency structures. She also\ncollaborates with neuroscientists on applications in fMRI and EEG data. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/96647674332?pwd=rCHfeGpKslaGS5iIPP5Jh29mQiMJID.1
URL:https://events.ucsc.edu/event/statistics-seminar-mathematical-foundations-for-machine-learning-from-a-nonlinear-time-series-perspective/
LOCATION:https://ucsc.zoom.us/j/96647674332?pwd=rCHfeGpKslaGS5iIPP5Jh29mQiMJID.1
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/01/ph.d.-presentation-graphic-option-1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260202T160000
DTEND;TZID=America/Los_Angeles:20260202T170000
DTSTAMP:20260403T164601
CREATED:20260128T184233Z
LAST-MODIFIED:20260128T184233Z
UID:10009126-1770048000-1770051600@events.ucsc.edu
SUMMARY:AM Seminar: Are Graph Learning Methods Actually Learning?
DESCRIPTION:Presenter: Seshadhri Comandur\, Professor of Computer Science\, UCSC \nDescription: There has been a lot of literature on graph machine learning over the past few years\, and a bewildering array of new methods. This talk is based on a series of results making a provocative argument. Maybe many graph machine learning methods are not really that effective\, and the progress we are seeing is an artifact of experimental design and measurement. I will talk about some results showing that low-dimensional embeddings with dot product similarity (arguably the most common graph ML technique) cannot capture salient aspects of real-world graphs. Follow-up work demonstrates that simple benchmarks seem to outperform fancier methods\, and that there are significant shortcomings in existing accuracy measurement. \nBio: C. Seshadhri (Sesh) is a professor of Computer Science at the University of California\, Santa Cruz and an Amazon scholar. Prior to joining UCSC\, he was a researcher at Sandia National Labs\, Livermore in the Information Security Sciences department\, during 2010-2014. His primary interest is the theoretical study of algorithms\, especially those with a mix of graphs and randomization. By and large\, Sesh works at the boundary of theoretical computer science (TCS) and data mining. His work spans many areas: sublinear algorithms\, graph algorithms\, graph modeling\, scalable computation\, and data mining. In the theory world\, his work has resolved numerous open problems in monotonicity testing and graph property testing. A number of his papers in the interface of TCS and applied algorithms have received paper awards at KDD\, WWW\, ICDM\, SDM\, and WSDM. He received the 2019 SDM/IBM Early Career Award for Excellence in Data Analytics. Sesh got his Ph.D from Princeton University and spent two years as a postdoc in IBM Almaden Labs. \nHosted by: Ashesh Chattopadhyay\, Applied Mathematics Department
URL:https://events.ucsc.edu/event/am-seminar-are-graph-learning-methods-actually-learning/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260204T120000
DTEND;TZID=America/Los_Angeles:20260204T130000
DTSTAMP:20260403T164601
CREATED:20260128T170858Z
LAST-MODIFIED:20260128T170858Z
UID:10009124-1770206400-1770210000@events.ucsc.edu
SUMMARY:Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
DESCRIPTION:Presenter: Qi Xu\, Postdoctoral Researcher\, Department of Statistics & Data Science\, Carnegie Mellon University \nDescription: Multi-modality data are increasingly common across science medicine and technology\, such as imaging\, text\, sensors\, and genomics. These modalities are often high dimensional or unstructured and naturally exhibit blockwise (nonmonotone) missingness where different samples observe different subsets of modalities. Such missingness creates a major obstacle for statistical analyses since classical methods either discard large portions of data or rely on strong modeling assumptions. Recent advances in AI make it possible to generate or predict unobserved modalities from observed ones\, opening new opportunities for data integration. In this talk\, I will focus on statistical inference for blockwise-missing multi-modality data\, while rigorously incorporating modern AI tools. Rooted in semiparametric theory\, there is a long-term open problem that theoretically optimal estimating function under non-monotone missingness is computationally intractable\, even under the missing completely at random mechanism. I introduce a tractable approximation to the optimal estimating equation through a novel Restricted ANOVA hierarchY or RAY decomposition and its almost-eigen-operator property. This leads to a new class of estimators that leverage predictive or generative AI models to borrow information across datasets while remaining unbiased and asymptotically normal. Motivated by the property of the RAY estimator\, we extend the RAY estimator to a class of unbiased\, consistent\, and computationally tractable estimators. The most efficient estimator in this class is then derived\, named as Adaptive RAY estimator\, which optimally integrating all available data and prediction from AI. Simulation studies and a single cell multi-omics application demonstrate that the proposed framework enables stable and efficient inference for complex multi modality data in the AI era. This is a joint work with Lorenzo Testa\, Jing Lei and Kathryn Roeder\, and the paper is available on arXiv: https://arxiv.org/abs/2509.24158 \nBio: Qi Xu is a postdoctoral researcher in the Department of Statistics & Data Science at Carnegie Mellon University. His research interests lie broadly in statistics and machine learning\, especially in data integration and AI for statistics\, with their applications in genomics and mobile health. He received his Ph.D. from the Department of Statistics at University of California\, Irvine\, and the Master degree from University of Illinois Urbana Champaign\, and the Bachelor degree (with honors) from Tongji University. \nHosted by: Statistics Department \nZoom link: https://ucsc.zoom.us/j/91740050783?pwd=joK9hfwvM7FZ48acaiow8OY4ZlBDXA.1
URL:https://events.ucsc.edu/event/statistics-seminar-statistical-inference-for-multi-modality-data-in-the-ai-era/
LOCATION:https://ucsc.zoom.us/j/91740050783?pwd=joK9hfwvM7FZ48acaiow8OY4ZlBDXA.1
CATEGORIES:Lectures & Presentations,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260204T160000
DTEND;TZID=America/Los_Angeles:20260204T173000
DTSTAMP:20260403T164601
CREATED:20260108T202204Z
LAST-MODIFIED:20260115T205542Z
UID:10008333-1770220800-1770226200@events.ucsc.edu
SUMMARY:VMCC Series: Yiman Wang
DESCRIPTION:In a lecture delivered by UC Santa Cruz Professor Yiman Wang\, this talk delves into Mao-era moving image culture that featured experimentation with public health\, horticulture\, and animal husbandry to unpack what cinematic experiments were developed\, how scientific experiments were conducted\, and in what ways they were intended to intertwine with the nation-wide experiment with rebuilding the new socialist human’s psyche and a new socio-political world. The talk also explores why such conjoined experiments often fell apart\, what one might gain by recentering the unruly human and more-than-human “raw material” that were experimented on\, and ultimately\, how the environmental turn in media studies could benefit from a study of socialist trifold cinematic-scientific-socio-political experimentations.\n—\nABOUT THE SPEAKER\nYiman Wang (Ph.D.\, Graduate Program in Literature\, Duke University) is Professor and Chair of Film & Digital Media at University of California\, Santa Cruz. She is author of Remaking Chinese Cinema: Through the Prism of Shanghai\, Hong Kong and Hollywood (University of Hawaii Press 2013)\, and To Be an Actress: Labor and Performance in Anna May Wong’s Cross-Media World (University of California Press 2024). She has published numerous articles in journals and edited volumes on topics of socialist environmental media\, feminist media histories\, ethnic border-crossing stardom\, eco-cinema\, Chinese cinema\, independent documentary\, film remakes and adaptations. She is editor of a special issue of Feminist Media Histories on Asian Feminist Media (2019)\, co-editor of an InFocus Dossier on Queering Asian Media in Journal of Cinema and Media Studies (2023)\, co-editor of Chinese Animation: Multiplicities in Motion (2025)\, associate editor of Journal of Chinese Cinemas\, and co-editor of the Global East Asian Screen Cultures book series published by Bloomsbury.\n—\nADMISSION\n– FREE and open to the public\n– Located in Porter College Rm. D245\n—\nPARKING\n– Lot 124 & 125 are the closest parking lots to the event.\n– Parking is by permit or ParkMobile.\n– Refer to TAPS for more parking information.\n—\nThis program is open to all members of the public consistent with state and federal law. \n 
URL:https://events.ucsc.edu/event/vmcc-series-yiman-wang/
LOCATION:Porter College\, D-Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260204T173000
DTEND;TZID=America/Los_Angeles:20260204T190000
DTSTAMP:20260403T164601
CREATED:20260121T174938Z
LAST-MODIFIED:20260121T174938Z
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SUMMARY:Kraw Lecture: Learning Earth's Biodiversity via Space and eDNA
DESCRIPTION:The California DNA Program (CALeDNA)\, launched from the University of California in 2017\, has been tackling the massive disconnection in scales of measuring nature from satellite-based sensing down to DNA in a gram of soil or water. Through dozens of collaborative projects around the world\, CALeDNA lab scientists have harmonized different ways of observing biodiversity from microbes to plants and mammals. UC Santa Cruz’s Department of Ecology and Evolutionary Biology\, where CALeDNA is headquartered\, now houses over 50\,000 CALeDNA environmental sample collections\, a thriving startup partnership\, and an eDNA service and R&D lab that serves most national and CA state agencies that monitor nature. In this presentation\, Rachel Meyer will demonstrate the challenges of connecting the microscopic to regional scales across all kingdoms of life for two central purposes: monitoring sensitive habitat change and estimating habitat ‘health’.\n \n\n\nIn-Person Reception: 5:30 p.m.\nLecture: 6–7 p.m.\n\nRegister Now
URL:https://events.ucsc.edu/event/kraw-lecture-learning-earths-biodiversity-via-space-and-edna/
LOCATION:3175 Bowers Avenue Santa Clara\, CA 95054\, 3175 Bowers Avenue\, Santa Clara\, CA\, 95054\, United States
CATEGORIES:Lectures & Presentations
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GEO:37.3796975;-121.9765484
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260204T180000
DTEND;TZID=America/Los_Angeles:20260204T190000
DTSTAMP:20260403T164601
CREATED:20260115T205935Z
LAST-MODIFIED:20260115T205935Z
UID:10008405-1770228000-1770231600@events.ucsc.edu
SUMMARY:Regulatory Affairs Info Session
DESCRIPTION:Lead regulatory strategy in the evolving medical device industry.\nAs global regulations become increasingly complex\, professionals who can navigate FDA\, EU\, and international requirements are in high demand. Learn how to design and execute regulatory strategies\, manage premarket submissions using tools like the FDA’s eSTAR\, leverage AI-driven platforms for regulatory intelligence\, and ensure compliance across device lifecycles. \nSpeaker\nJoin Kiran Gulati\, chair of the UCSC Silicon Valley Extension Regulatory Affairs program\, for a detailed overview of how our courses provide practical\, hands-on training and industry-aligned skills to advance your career in regulatory affairs\, quality assurance\, and medical device compliance. \nStart exploring\nCheck out our Regulatory Affairs certificate program page for a closer look at upcoming courses and offerings. \nClaim your seat. 
URL:https://events.ucsc.edu/event/regulatory-affairs-info-session/
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:20260204T180000
DTEND;TZID=America/Los_Angeles:20260204T190000
DTSTAMP:20260403T164601
CREATED:20260128T003612Z
LAST-MODIFIED:20260128T003612Z
UID:10009122-1770228000-1770231600@events.ucsc.edu
SUMMARY:Pre-College Program Info Session
DESCRIPTION:Learn more about our Pre-College Programs\nDiscover what’s possible in Summer 2026! Join us for a one-hour info session to learn about our Pre-College programs\, including courses\, eligibility\, and how students can get a head start on college and career pathways. \nSpecial offer\nReceive an application fee waiver when you enroll and attend the session. \nClaim your seat.  \n 
URL:https://events.ucsc.edu/event/pre-college-program-info-session-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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260205T170000
DTEND;TZID=America/Los_Angeles:20260205T180000
DTSTAMP:20260403T164601
CREATED:20260202T202615Z
LAST-MODIFIED:20260202T202615Z
UID:10009110-1770310800-1770314400@events.ucsc.edu
SUMMARY:Looking at School\, Fear\, and  Possibilities: Imagining Futures Under Authoritarian Rule
DESCRIPTION:Please join us in a conversation around School\, Fear\, & Possibilities: Imagining Futures Under Authoritarian Rule\, featuring two guest speakers: Manuel Espinoza Ph.D\, Muhammad Khalifa! \n  \nTitle: School\, Fear\, & Possibilities: Imagining Futures Under Authoritarian Rule Talk \nGuest speakers: Manuel Espinoza & Muhammad Khalifa. \nDate: Thursday\, February 5th\, 2026\, 5-6PM  \nLocation: McHenry 0266 or via Zoom (Meeting ID: 933 0685 4982; Passcode: 924285) \nPlease complete this RSVP form if you plan to attend \nFeb 5th guest speakers \nLearn about Manuel Espinoza \nManuel is a child of desegregation and a Chicano ethnographer working in the scholarly tradition that emerged during the 20th-century struggle against racism in the U.S. As the Director and Co-founder of the Right2Learn Dignity Lab\, now in its 15th year\, Manuel works with an undergraduate and graduate research collective to develop two interconnected strands of research: 1) an inquiry into the historical and legal origins of educational rights and 2) a social interactional method for studying the manifestations of dignity in educational activity. Presently\, the Dignity Lab is working to amend the “education clause” of the Colorado Constitution. Manuel has shared his expertise by contributing content on dignity in schools to the Cultivating Compassion for Ourselves and Others digital certificate. \n  \nLearn about Muhammad Khalifa \nHis research examines how urban school leaders enact culturally responsive leadership and anti-oppressive schooling practices. He is a leading expert on equity audits for school districts. He was previously a teacher and administrator in Detroit Public Schools\, and he has also contributed to community-informed education projects in Africa\, Latin America\, and Asia in various capacities. He formerly held the endowed Beck Chair of Ideas in Education at the University of Minnesota. He has contributed to education\, development\, or research programs in several contexts. \n  \nWe hope you can join us in this conversation with Manuel and Muhammad!
URL:https://events.ucsc.edu/event/looking-at-school-fear-and-possibilities-imagining-futures-under-authoritarian-rule/
LOCATION:CA
CATEGORIES:Lectures & Presentations
ATTACH;FMTTYPE=application/pdf:https://events.ucsc.edu/wp-content/uploads/2026/01/Feb-5th-guest-speakers.pdf
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260205T173000
DTEND;TZID=America/Los_Angeles:20260205T193000
DTSTAMP:20260403T164601
CREATED:20251215T233611Z
LAST-MODIFIED:20260107T184350Z
UID:10005834-1770312600-1770319800@events.ucsc.edu
SUMMARY:Carl Deppe Memorial Lecture with Dr. Kara Cooney
DESCRIPTION:The UCSC Ancient Studies Program presents the Carl Deppe Memorial Lecture\, taking place February 5th at the Cowell Ranch Hay Barn (reception to follow). Kara Cooney will present her lecture “When Women Ruled the World”. Doors open at 5:30pm\, program begins at 5:45pm. \n \nKara Cooney is a professor of ancient Egyptian art and architecture and chair of the Department of Near Eastern Languages and Cultures at the University of California\, Los Angeles. Specializing in social history\, gender studies\, and economies of the ancient world\, she received her PhD in Egyptology from Johns Hopkins University. Her books include The Woman Who Would Be King: Hatshepsut’s Rise to Power in Ancient Egypt\, When Women Ruled the World: Six Queens of Egypt\, and The Good Kings: Absolute Power in Ancient Egypt and the Modern World. Her latest books include Recycling for Death: Coffin Reuse in Ancient Egypt and the Theban Royal Caches\, Ancient Egyptian Society: Challenging Assumptions\, Exploring Approaches\, and Coffin Commerce.
URL:https://events.ucsc.edu/event/carl-deppe-memorial-lecture-with-dr-kara-cooney/
LOCATION:Hay Barn\, 94 Ranch View Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations
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GEO:36.9817736;-122.0569624
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