Tag: seminar
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February 25, 2026 | Works-in-Progress with Geoffrey Bowker
On Wednesday, February 25, 2026 at 3:00PM in Humanities 1, Room 210, join SJRC scholars on the death of infrastructure, AI, and underwater network cables and his collaborative comic book on Actor Network Theory.
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AM Seminar: The Thinking Eye: AI That Sees, Reads, and Reasons in Medicine
Presenter: Yuyin Zhou, Assistant Professor, UCSC Description: Medical AI is undergoing a profound transformation, evolving from simple pattern recognition to systems capable of complex clinical reasoning. This talk will chart […]
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Statistics Seminar: Decoding Phytoplankton Responses to a Changing Ocean
Presenter: Francois Ribalet, Research Associate Professor, School of Oceanography, University of Washington Description: François Ribalet will present new observational technologies and computational approaches for studying phytoplankton responses to ocean warming. […]
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AM Seminar: Are Graph Learning Methods Actually Learning?
Presenter: Seshadhri Comandur, Professor of Computer Science, UCSC Description: There has been a lot of literature on graph machine learning over the past few years, and a bewildering array of […]
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Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
Presenter: Qi Xu, Postdoctoral Researcher, Department of Statistics & Data Science, Carnegie Mellon University Description: Multi-modality data are increasingly common across science medicine and technology, such as imaging, text, sensors, […]
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Statistics Seminar: Rotated Mean-Field Variational Inference and Iterative Gaussianization
Presenter: Sifan Liu, Assistant Professor, Department of Statistical Science, Duke University Description:Mean-field variational inference (MFVI) approximates a target distribution with a product distribution in the standard coordinate system, offering a […]
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Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
Presenter: Jiaqi Li, William H. Kruskal Instructor, University of Chicago Description:Modern machine learning (ML) algorithms achieve remarkable empirical success, yet providing rigorous statistical guarantees remains a major challenge, particularly in […]
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Statistics Seminar: Inferring Unobserved Trajectories from Multiple Temporal Snapshots
Presenter: Yunyi Shen, Ph.D. Candidate, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Description: Practitioners often aim to infer an unobserved population trajectory using sample snapshots at […]
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Statistics Seminar: Boosting Biomedical Imaging Analysis via Distributed Functional Regression and Synthetic Surrogates
Presenter: Guannan Wang, Associate Professor, The College of William & Mary Description: Generative AI has emerged as a powerful tool for synthesizing biomedical images, offering new solutions to challenges such […]
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Statistics Seminar: Heterogeneous Statistical Transfer Learning
Presenter: Subhadeep Paul, Associate Professor, Ohio State University Description: In the first part of the talk, we consider the problem of Transfer Learning (TL) under heterogeneity from a source to […]