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DTSTART;TZID=America/Los_Angeles:20261008T114000
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SUMMARY:BME 280B Seminar: Dr. Paulina Tolosa Tort\, Postdoctoral Scholar\, and Erich Weiler\, Senior Systems Architect and Engineer
DESCRIPTION:Welcome to the second week of our BME 280B seminar series\, a weekly seminar covering topics of current research in computational biology\, and bioinformatics. \nOpen to all\, food will be provided. Class enrollment is not required. \n  \nPlease join us this week to learn more about the works of Erich Weiler and Dr. Paulina Tolosa Tort: \nSpeaker 1 at 11:40 AM: Erich Weiler\, Senior Systems Architect and Engineer\, University of California\, Santa Cruz Genomics Institute \nTitle: Mastering HPC Workload Orchestration: A Strategic Guide to Slurm \nDescription: As high-performance computing (HPC) demands grow\, efficient workload orchestration and resource allocation become critical for maximizing cluster throughput and hardware return on investment. This presentation provides a comprehensive guide to understanding and leveraging the Simple Linux Utility for Resource Management (Slurm) within distributed HPC environments. Attendees will explore the core architecture of HPC clusters—including login nodes\, compute nodes\, and shared storage fabrics—alongside the central daemons (slurmctld\, slurmd\, and slurmdbd) that power execution\, control\, and accounting. \nThe talk breaks down the job execution lifecycle for both interactive and batch workloads\, detailing how Slurm evaluates job priorities using a multifactor system driven by job age\, size\, partition constraints\, and Fair Share algorithms (such as Fair Tree). Key operational focus areas include partition design\, backfill scheduling\, and the severe performance impacts of over-requesting CPU cores\, RAM\, GPUs\, and walltime. Practical best practices—such as I/O hygiene\, local scratch utilization\, and avoiding common resource bottlenecks—are highlighted to help researchers and engineers navigate queue mechanics\, optimize job scheduling\, and ensure equitable\, high-throughput cluster utilization. \nBio: Erich Weiler is a Senior Systems Architect and Engineer with over two decades of expertise in high-performance computing\, enterprise storage architectures\, and high-availability infrastructure. He currently serves as Genomics Systems Architect at the University of California\, Santa Cruz Genomics Institute\, where he manages multi-petabyte parallel file systems\, GPU-accelerated computing clusters\, and hybrid cloud environments supporting advanced comparative genomics and computational biology. Erich also provides specialized systems architecture consulting for prominent academic institutions and research facilities across the country\, including Johns Hopkins University\, Northeastern University\, and Claremont McKenna College. \nWith a deep background spanning Linux/UNIX systems administration\, cluster workload management via Slurm\, and complex high-speed networking\, Erich specializes in designing resilient\, scalable infrastructure for data-intensive research environments. His past work includes architecting a $5 million\, 5-petabyte high-performance storage installation for the NIH/NCI-funded Cancer Genomics Hub\, as well as engineering secure\, FISMA-compliant data deployment platforms. Erich holds a B.A. from Southwestern University. \n  \nSpeaker 2 at 12:25 PM: Dr. Paulina Tolosa Tort\, Postdoctoral Scholar\, University of California\, San Francisco \nTitle: Understanding Heterogeneity in Neurodegenerative Disease through Genomics: From Patients to Genomes \nDescription: Neurodegenerative diseases such as Alzheimer’s disease are becoming increasingly prevalent as populations age worldwide. These disorders show substantial heterogeneity across individuals in susceptibility\, clinical presentation\, and progression. Understanding the biological basis of this variation is important for clarifying disease mechanisms\, characterizing risk\, and identifying opportunities for prevention and treatment. This talk will examine how human genomics can be used to investigate heterogeneity in neurodegenerative disease\, from shared genetic architecture across disorders to variation in individual susceptibility. \nUsing Alzheimer’s disease and primary open-angle glaucoma as examples of neurodegenerative diseases\, the first part of the talk will focus on shared genetic architecture and pleiotropy between the two disorders\, integrating large-scale genomic and   data to identify shared genetic signals. The second part will examine how genetic susceptibility\, including polygenic risk\, operates in the context of clinical and potentially modifiable risk factors to shape cognitive outcomes and dementia risk. Together\, these approaches examine different sources of heterogeneity in neurodegenerative disease\, from shared biological processes across disorders to the interplay of genetic and non-genetic risk factors across individuals. \nFinally\, this talk will outline future directions exploring how long-read sequencing and pangenome-based representation may expand both the characterization and representation of human genomic diversity\, creating new opportunities to connect genomic variation with clinically meaningful differences in disease susceptibility and risk. \nBio: Paulina Tolosa-Tort\, MD\, PhD\, MPH\, is a postdoctoral scholar at the University of California\, San Francisco\, whose research focuses on the genetic and non-genetic determinants of heterogeneity in neurodegenerative disease. Her research perspective emerged from clinical training in medicine and ophthalmology at the National Autonomous University of Mexico (UNAM)\, where differences in disease onset\, presentation\, and progression motivated questions about the biological basis of individual susceptibility. She subsequently completed a Master of Public Health in Quantitative Methods at Harvard University and pursued doctoral training in Chronic Disease Epidemiology at Yale University\, where she used cross-disease genetic approaches to investigate biological processes shared between Alzheimer’s disease and primary open-angle glaucoma. At UCSF\, she investigates how genetic susceptibility interacts with clinical and environmental exposures to shape cognitive outcomes and dementia risk. \nHosted By: Professor of Biomolecular Engineering\, Dr. Benedict Paten
URL:https://events.ucsc.edu/event/bme-280b-seminar-100826/
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:20261012T104000
DTEND;TZID=America/Los_Angeles:20261012T114500
DTSTAMP:20261005T193034Z
CREATED:20261005T192533Z
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SUMMARY:ECE 290 Seminar: "Photon Counting Detectors for X-Ray Imaging"
DESCRIPTION:Presented by: Jin Zhang\, Chief Engineer @ iRay Group \nDescription: “Photon-counting detectors measure individual X-ray interactions\, enabling fine spatial sampling and energy-resolved imaging. This seminar connects semiconductor signal formation and readout electronics to imaging benefits and practical limitations in medical and industrial applications. It examines charge sharing\, pulse pileup\, calibration drift\, and material decomposition\, then surveys clinical PCCT systems and detector technologies from Siemens\, GE\, Canon\, Varex\, CERN\, DECTRIS\, and iRay. Examples span diagnostic CT\, industrial inspection\, and laboratory and synchrotron measurements. The discussion concludes with research priorities in sensor manufacturing\, high-rate electronics\, module integration\, and quantitative validation. The central question is how to preserve useful spatial and spectral information at realistic flux\, dose\, and throughput\, and demonstrate improvements through fair\, task-specific comparisons.” \nBio: Jin Zhang\, Ph.D.\, is an engineering and R&D leader with more than 20 years of experience in medical imaging\, semiconductor detectors\, and AI-enabled sensing. Currently Chief Engineer at iRay Group\, he previously held leadership roles at Varex Imaging\, Quanergy\, and PerkinElmer\, leading global teams across North America\, Europe\, and Asia. His expertise spans photon-counting detectors\, image processing\, and bringing advanced imaging technologies into commercial products. He earned his Ph.D. from the University of Rochester and completed postdoctoral research at Stanford University. He has authored more than 40 publications and holds a granted U.S. patent. \n  \nHosted by: Professor Zhicong Yu\, Electrical & Computer Engineering Department \nWhen: Monday\, October 12th from 10:40 to 11:45 AM PST \nLocation: Classroom E2-194
URL:https://events.ucsc.edu/event/ece-seminar-photon-counting-detectors-for-x-ray-imaging/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261019T160000
DTEND;TZID=America/Los_Angeles:20261019T170000
DTSTAMP:20260921T164141Z
CREATED:20260921T164141Z
LAST-MODIFIED:20260921T164141Z
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SUMMARY:Statistics Seminar: Advancing Science on the Sea and Stars with Modern Statistical Techniques
DESCRIPTION:Presenter: J. Xavier Prochaska\, Professor\, UC Santa Cruz \nDescription: I will present two current and challenging research problems from the domains of astrophysics and oceanography which are leveraging standard Bayesian methods. After describing the datasets\, scientific goals\, and currently methodology\, I will welcome a discussion on ways to improve\, advance\, and/or replace the current approaches. Ideally within the realm of tradiational/modern statistics\, but I will welcome soluation with machine learning/AI approaches. I will then conclude by describing forthcoming\, large datasets that could leverage expertise from members of the Department of Statistics. For those who wish a preview of the data and current techniques\, I will circulate a README a day or two in advance of the seminar. \nAbout the speaker: PhD Physics — UC San Diego; Professor Astronomy & Astrophysics and Ocean Sciences — UC Santa Cruz \n\n\n\n\n\nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/statistics-seminar-advancing-science-on-the-sea-and-stars-with-modern-statistical-techniques/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261019T160000
DTEND;TZID=America/Los_Angeles:20261019T170000
DTSTAMP:20260922T181210Z
CREATED:20260922T181210Z
LAST-MODIFIED:20260922T181210Z
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SUMMARY:AM Seminar: Analysis of Flagellar Gait Changes Across Fluid Viscosities
DESCRIPTION:Presenter: Dr. Kelli Gutierrez\, CSU Monterey Bay \nDescription: Many microswimmers propel themselves using flagella\, which are thin\, threadlike filaments that beat in a periodic wavelike motion. The flagellar beat emerges from the coupled interactions between the surrounding fluid and the active and passive responses of the flagellum. Previous studies have observed the qualitative shape of the flagellar waveform and the swimming speed to change with fluid viscosity. We quantify changes in the flagellar waveforms of \textit{Chlamydomonas reinhardtii} in response to changes in fluid viscosity using (i) shape mode analysis and (ii) a full swimmer simulation to analyze how shape changes affect the swimming speed. By decomposing the gait into the time‑independent mean shape and the time‑varying stroke\, we find that the time-independent mean shape changes substantially in response to viscosity\, while the changes in the time-varying stroke are more subtle. \nAbout the speaker: Dr. Gutierrez received her Ph.D. in Applied Mathematics from UC Davis. She joined the Department of Mathematics and Statistics Department at Cal State Monterey Bay in 2026. Her research interests include mathematical biology\, fluid dynamics\, and applied mathematics. \nThis seminar is hosted by Applied Mathematics.
URL:https://events.ucsc.edu/event/am-seminar-analysis-of-flagellar-gait-changes-across-fluid-viscosities/
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:20261019T180000
DTEND;TZID=America/Los_Angeles:20261019T193000
DTSTAMP:20261006T165803Z
CREATED:20260917T183243Z
LAST-MODIFIED:20261006T165803Z
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SUMMARY:North Stars of Emancipation: Navigating Movements and Institutions to Change Food Systems
DESCRIPTION:Dr. Antonio Roman-Alcalá has been participating in food and farming movements in California for over two decades. He’s founded urban farms\, taught organic horticulture\, and made documentary films about why food systems continue to be unsustainable.  \nMore recently\, he’s turned towards participatory\, movement-based research to develop an understanding of what “emancipation” might mean for those who’ve long faced the brunt of food systems injustices\, especially in a context of rising right wing\, racist politics at the national level. \nThe result is North Stars of Emancipation: California’s Diverse Food and Farming Movements in Times of Racial Reckoning\, Antonio’s book now out on MIT Press. You can find info on the book here. \nThe book describes a shift in recent decades of US food movement politics – driven by the greater inclusion and influence of people of color – towards more radical political ideals of anti-capitalism and anti-colonialism\, and skepticism of the state as a tool for emancipation. North Stars tackles questions of social movement convergence amidst the recent right wing rise\, and offers strategic and scholarly lessons based on decades of experience and analysis. \nCome join Antonio in conversation with other thinkers and doers\, about organizing for food systems transformation\, fraught times of political regression\, reckoning with legacies of racism\, and holding onto radical visions for a world otherwise. \nFeaturing: \nLeonard Diggs\, Long time Farmer and Educator\nMireya Gomez-Contreras\, Esperanza Farms\, Community Farm in Watsonville\nMaywa Montenegro de Wit\, Critical agrarian studies scholar at UCSC
URL:https://events.ucsc.edu/event/north-stars-of-emancipation-navigating-movements-and-institutions-to-change-food-systems/
LOCATION:Hay Barn\, 94 Ranch View Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261102T160000
DTEND;TZID=America/Los_Angeles:20261102T170000
DTSTAMP:20260921T170456Z
CREATED:20260921T170456Z
LAST-MODIFIED:20260921T170456Z
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SUMMARY:AM Seminar: Sliced Optimal Transport: From Acceleration to Bayesian Modeling
DESCRIPTION:Presenter: Enter the speaker’s name\, title\, and institution at the top of the event \nDescription: Optimal transport (OT) provides a principled way to match\, compare\, and interpolate distributions\, but its computational cost limits its use at realistic scales. I will present our recent work on reducing that cost and on using OT for statistical modeling and inference. In the first part of the talk\, I will briefly introduce optimal transport and sliced optimal transport (SOT). I will then present sliced-regularized OT\, which uses a cheap sliced plan as an informative prior for approximating the full plan\, yielding an efficient approximate OT solver. In the second part\, I will show how SOT enables new applications in statistical inference. In particular\, I will introduce distributional determinantal point processes\, which use SOT geometry to place repulsive priors on distributions\, giving a Bayesian model for clustering distributional data. Applications include image processing and the clustering of single-cell and epilepsy data. \nAbout the speaker: Dr. Khai Nguyen is an Assistant Professor in the Department of Statistics and Data Science at Texas A&M University. He received his Ph.D. in Statistics from the University of Texas at Austin and his B.Sc. in Computer Science from Hanoi University of Science and Technology. His research develops computational optimal transport\, particularly sliced methods that make large-scale transport tractable. He brings these tools to problems in machine learning and geometric data processing\, as well as to Bayesian approximate inference and nonparametric models for distributional data. \nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/am-seminar-sliced-optimal-transport-from-acceleration-to-bayesian-modeling/
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:20261102T160000
DTEND;TZID=America/Los_Angeles:20261102T170000
DTSTAMP:20261001T175836Z
CREATED:20261001T175836Z
LAST-MODIFIED:20261001T175836Z
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SUMMARY:AM Seminar: Data Analysis Workflow from Low-Code Tools to Generative and Agentic AI
DESCRIPTION:Presenter: Reza Fazel-Rezai\, Senior Science and Education Application Engineer\, MathWorks \nDescription: Please join us to learn how to accelerate data analysis using a workflow that spans low-code tools\, Generative AI\, and Agentic AI. Through live demonstrations and practical examples\, you’ll see how to import\, explore\, visualize\, model\, and process data using interactive tools that require minimal coding. The session will demonstrate how these tools can automatically generate reproducible MATLAB code\, how Generative AI can assist with code creation\, explanation\, and troubleshooting\, and how Agentic AI workflows can help plan\, execute code\, validate results\, diagnose issues\, and iteratively refine outcomes. Highlights: – Build a data analysis workflow using low-code and interactive tools. – Use Generative AI to support code generation\, explanation\, and troubleshooting. – Explore how Agentic AI can plan analysis steps\, run code\, test results\, diagnose errors\, and iterate toward reliable outcomes. \nAbout the speaker: Dr. Reza Fazel-Rezai\, with a Ph.D. and MS in Biomedical Engineering and a BS in Electrical Engineering\, brings over two decades of experience in both industry and academia. As a senior research scientist\, research team manager\, and the founding Director and tenured full Professor of Biomedical Engineering\, he has extensive expertise and background in the field. Dr. Fazel-Rezai has authored more than 200 scientific publications\, edited and published seven books\, and pursued diverse research interests in biomedical signal and image processing\, particularly through machine learning and deep learning methods. Passionate about leveraging and sharing his skills to help others achieve their goals\, he currently serves as an ABET PEV for Biomedical Engineering\, works part-time as an instructor at UC San Diego\, and is a full-time Senior Science and Education Application Engineer at MathWorks. \nThis seminar is hosted by Professor Pascale Garaud.
URL:https://events.ucsc.edu/event/am-seminar-data-analysis-workflow-from-low-code-tools-to-generative-and-agentic-ai/
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:20261109T160000
DTEND;TZID=America/Los_Angeles:20261109T170000
DTSTAMP:20261007T210443Z
CREATED:20261007T210443Z
LAST-MODIFIED:20261007T210443Z
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SUMMARY:AM Seminar: Enhanced Resolution Imaging in Strongly Scattering Media
DESCRIPTION:Presenter: Chrysoula Tsogka\, Professor\, Applied Mathematics\, UC Merced \nDescription: In a strongly scattering medium\, waves undergo multiple scattering that is usually seen as an obstacle to imaging. Time-reversal experiments show the opposite: waves re-emitted into the medium refocus on their source more sharply than in a homogeneous medium\, because scattering makes the array appear larger than it is. This effect\, known as super-resolution\, is not available to conventional imaging. Since the medium through which the waves travelled is unknown\, conventional methods back-propagate the data in an approximation of the true background. In this talk I will show how super-resolution can be achieved in imaging when abundant array data are available. The key idea is to learn the Green’s functions of the unknown random medium directly from the data using sparse dictionary learning. The Green’s functions are recovered as unordered columns of the sensing matrix. To associate each column with its location in the imaging window\, we build a graph from cross-correlations of the recovered columns and apply multidimensional scaling to the resulting proxy distances. The learned Green’s functions are then used to form images by back-propagation or by $\ell_2$ and $\ell_1$ methods\, with resolution beyond the homogeneous medium limit. I will also discuss recent extensions: a new dictionary learning algorithm that starts from a random initialization\, imaging on unstructured grids\, and imaging through changing random media. Joint work with M. Moscoso\, A. Novikov\, G. Papanicolaou\, A. Christie\, M. Leibovich and J. Zheng. \nAbout the speaker: Chrysoula Tsogka is a Professor of Applied Mathematics at the University of California\, Merced\, where she also serves as Chair of the Applied Mathematics Graduate Group. She received her Ph.D. in Applied Mathematics from the University Paris IX Dauphine and was a Postdoctoral Fellow at Stanford University. Before joining UC Merced in 2019\, she was a tenured CNRS researcher at LMA in Marseille\, an Assistant Professor at the University of Chicago\, and a Professor at the University of Crete. Her research focuses on numerical methods for direct and inverse wave propagation problems and on imaging in complex media. Her recent work includes quantitative synthetic aperture radar (SAR) imaging for the detection and classification of buried landmines\, and data-driven methods\, such as dictionary learning\, for super-resolution imaging in strongly scattering media. She serves on the editorial boards of Inverse Problems\, the Journal of Computational Physics and the Journal of Mathematical Imaging and Vision.
URL:https://events.ucsc.edu/event/am-seminar-enhanced-resolution-imaging-in-strongly-scattering-media/
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:20261116T153000
DTEND;TZID=America/Los_Angeles:20261116T170000
DTSTAMP:20260922T180840Z
CREATED:20260917T185033Z
LAST-MODIFIED:20260922T180840Z
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SUMMARY:Fall Slow Seminar: The Range of the River by Iftekhar Iqbal
DESCRIPTION:UCSC’s Center for Southeast Asian Coastal Interactions (SEACoast)  and the  Center for South Asian Studies  invite you to join us for a Slow Seminar to discuss Iftekhar Iqbal’s   The Range of the River: Asia’s Great River Systems and the Making of a Transregional World  on  Monday\, November 16\, 2026 from 3:30-5:00pm PST in Room 210\, Humanities 1. \nSpanning nearly four million square kilometers across eastern South Asia\, mainland Southeast Asia\, and southern China\, the Tibetan river system connects some of Asia’s major waterways\, including the Brahmaputra\, Mekong\, and Yangtze. In The Range of the River\, Iqbal traces the intertwined histories of these rivers and the human and other-than-human forces that have shaped them. The book considers rivers not only as sites of imperial power\, territorial contestation\, and economic activity\, but also as dynamic forces and shared commons that have facilitated movement\, exchange\, commerce\, and cultural encounters across political and geographic boundaries. \nProfessor Anna Tsing (UCSC Anthropology) will facilitate our Slow Seminar to focus on three river systems explored in Iqbal’s book: the Brahmaputra\, Mekong\, and Yangtze. Three scholars including Sanjay Barbora (UCSC Sociology)\, David Biggs (UCR History)\, and Ben Read (UCSC Politics) will offer brief reflections on one river each\, providing distinct disciplinary and regional perspectives before the discussion opens to a broader collective conversation. Our seminar conversation will focus on Chapters 1\, 4\, 6\, and 7 of the book. \nPlease register for the Slow Seminar by filling out this Google Form. Registered guests will receive a PDF copy of selected chapters of The Range of the River via email. \nThis is a Hybrid event. Participants may join in-person at UCSC or by Zoom. The Zoom link will be sent out to registered participants at least 1 hour before the event. \nRegistration will close at midnight on November 15\, 2026. \nNew to Slow Seminars?  Check out SEACoast’s definition here.
URL:https://events.ucsc.edu/event/fall-slow-seminar-the-range-of-the-river-by-iftkhar-iqbal/
LOCATION:Humanities 1 Building\, 257 Cowell-Stevenson Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations,Seminars
ORGANIZER;CN="Center for Southeast Asian Social Interactions":MAILTO:seacoast@ucsc.edu
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261123T160000
DTEND;TZID=America/Los_Angeles:20261123T170000
DTSTAMP:20261007T203353Z
CREATED:20261007T203353Z
LAST-MODIFIED:20261007T203353Z
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SUMMARY:Statistics Seminar: Randomization Posteriors and Generalized Bayesian Inference
DESCRIPTION:Presenter: Edric Tam\, Warren Alpert Fellow in AI and Computational Biology\, Department of Biomedical Data Science\, Stanford University \nDescription: A longstanding question in Bayesian analysis concerns the role of randomization. We introduce randomization posteriors\, a class of generalized Bayesian updates obtained by averaging over an auxiliary randomization law. A particularly relevant instance assigns random weights to the log-likelihood contributions of individual observations\, thereby averaging inference over random perturbations of the dataset. The resulting posterior updates are governed by a fundamental design choice: the stage at which the randomization is averaged out. Averaging at the log-likelihood level recovers the power posterior for a broad class of weight distributions\, while averaging at the posterior level\, under suitable choices of weights\, recovers the bagged posterior. Averaging at the likelihood level yields a new family of generalized Bayesian updates\, which we term contamination posteriors. These are indexed by the cumulant transform of the randomization law and require a reference density for well-posedness. For Bernoulli weights\, they recover classical Huber-type contamination models\, while Beta and other weight distributions produce new generalized posteriors. We characterize the theoretical properties of randomization posteriors and illustrate their empirical robustness through simulations and experiments. We also discuss connections with bootstrap methods\, coarsened posteriors\, and other generalized Bayesian updating procedures. \nAbout the speaker: Edric (Ed) Tam is a postdoctoral fellow at the Department of Biomedical Data Science in Stanford University. His research lies at the intersection of Bayesian statistics\, artificial intelligence\, and biomedical applications. His postdoctoral work has been supported by a Warren Alpert Fellowship and a Croucher Postdoctoral Fellowship. He earned his PhD in Statistical Science from Duke University\, where he worked with David Dunson\, and holds degrees in computer science and biomedical engineering from the University of Chicago\, Yale University\, and Johns Hopkins University. He has also held research and engineering roles at Google\, Meta\, Amazon\, and Apple AIML. \nThis seminar is hosted by Professor Yunyi Shen.
URL:https://events.ucsc.edu/event/statistics-seminar-randomization-posteriors-and-generalized-bayesian-inference/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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