Applied Microeconomics and Trade Seminar Series Presents: Guo Xu
Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CAApplied Microeconomics and Trade Seminar: Guo Xu
20 events found.
Research
Events
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Statistics Seminar: Boosting Biomedical Imaging Analysis via Distributed Functional Regression and Synthetic Surrogates
Virtual EventPresenter: 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 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 […]
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AM Seminar: Probing Forced Responses and Causality in Data-Driven Climate Emulators: Conceptual Limitations and the Role of Reduced-Order Models
Virtual EventPresenter: Fabrizio Falasca, New York University Description: 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 […]
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Statistics Seminar: Mathematical Foundations for Machine Learning from a Nonlinear Time Series Perspective
Hybrid EventPresenter: 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 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 […]
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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 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 […]
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Statistics Seminar: Statistical Inference for Multi-Modality Data in the AI Era
Hybrid EventPresenter: 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, 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 […]
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AM Seminar: Data Driven Modeling for Scientific Discovery and Digital Twins
Presenter: Dongbin Xiu, Professor, Ohio State University Description:We present a data-driven modeling framework for scientific discovery, termed Flow Map Learning (FML). This framework enables the construction of accurate predictive models for complex systems that are not amenable to traditional modeling approaches. By leveraging data and the expressiveness of deep neural networks (DNNs), FML facilitates long-term […]
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AM Seminar: Multiscale Modeling of Cellular Membranes and Oncogenic Proteins
Presenter: Liam Stanton, Professor, San Jose State University Description: In this talk, I will present a multiscale model for cellular membranes, which is trained on molecular dynamics simulations. The model is constructed within the formalism of dynamic density functional theory and can be extended to include features such as the presence of proteins and membrane […]
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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 scalable approach to Bayesian inference but often severely underestimating uncertainty due to neglected dependence. We show that MFVI can be greatly improved when performed along […]
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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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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. Using SeaFlow, a custom-built automated flow cytometer deployed on over 100 research cruises, his team has collected nearly 850 billion cell measurements across global oceans. […]
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AM Seminar: The Evolving Landscape of AI for Science and Engineering: Bridging Simulation, Experiment, and Multi-scale Dynamics
Presenter: Aditi Krishnapriyan, Assistant Professor, UC Berkeley Description: Recent advances in large-scale scientific datasets are creating new opportunities for machine learning (ML) methods to more effectively capture scientific phenomena with […]
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Statistics Seminar: Evaluating Predictive Algorithms Under Missing Data
Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. […]
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AM Seminar: Solution Discovery in Fluids with High Precision Using Neural Networks
Presenter: Ching-Yao Lai, Assistant Professor, Stanford University Description: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being […]
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Statistics Seminar: Evaluating Predictive Algorithms Under Missing Data
Presenter: Amanda Coston, Assistant Professor, University of California Berkeley Description: Performance evaluation plays a central role in decisions about whether and how predictive algorithms should be deployed in high-stakes settings. […]
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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: Some Recent Results on Transfer Learning
Presenter: Oscar Hernan Madrid Padilla, Assistant Professor, University of California, Los Angeles Description: In the first part of the talk, I will introduce TRansfer leArning via guideD horseshoE prioR (TRADER), […]
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Research Lunch & Learn: SBIR/STTR
Virtual EventJoin us on April 8, 2026, 12-1 p.m. for a session led by Benjamin Legum, Director, New Venture Development. Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) grants are offered […]
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Statistics Seminar: Calibration Weighting-Style Diagnostics for Nonlinear Bayesian Hierarchical Models
Presenter: Dr. Ryan Giordano, UC Berkeley Statistics Description: Multilevel Regression with Post-stratification (MrP) has become a workhorse method for estimating population quantities using non-probability surveys, and is the primary alternative […]
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The Emergence of Maritime Archaeology in the Republic of Benin: Research, Challenges, and Ongoing Initiatives
Social Sciences 1 Social Sciences 1, Santa Cruz, CAPlease join the April 8th Archaeology and Biological Anthropology Lunch Talk, “The Emergence of Maritime Archaeology in the Republic of Benin: Research, Challenges, and Ongoing Initiatives,” presented by Affolabi Angelo Ayedoun (Anthropology, UC Santa Cruz).