Presenter: Dr. Hannah Stuart, Associate Professor in the Department of Mechanical Engineering, University of California at Berkeley Description: 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 […]

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 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 […]

Presented by: Kai Lukoff Description: The 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 […]

Presenter: 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 […]

Presenter: Charilaos I. Kanatsoulis, Stanford University Abstract: 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, […]

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 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 […]

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 […]

Economics Behavioral, Econometrics and Theory Seminar: Mallesh Pai

What does it take to thrive in the world’s most innovative region and in an AI-driven global economy? Join Dean PK Agarwal in this hybrid session as he discusses the […]

The Intersections of Climate Change Lectures continue with a conversation featuring Yanely Martinez, Katherine Gabriel-Cox, Adam Scow and Logan Pallin about the short and long-term health impacts of pesticide use […]

Explore how artificial intelligence is transforming the semiconductor industry—from design to manufacturing. In this AI workshop, students will examine how AI is being applied to chip design, Electronic Design Automation […]