Upcoming events

PhD Dissertation Defense

High-Dimensional Tensor Methods: Randomization, Implicit Algorithms, and Parallelization

Yifan Zhang , Ph.D. Candidate, Oden Institute

Oden Institute & Dept. of Statistics and Data Sciences

Learning Dynamics with Limited Data

George Stepaniants , Postdoctoral Fellow, California Institute of Technology

PhD Dissertation Defense

Data-Driven Optimal Experimental Design and Uncertainty Quantification with Applications in Computational Imaging

Evan Scope Crafts

Oden Institute & College of Natural Sciences

From intuition to innovation: accelerating scientific discovery through black-box probabilistic inference

Diana Cai , Research Fellow, Center for Computational Mathematics at Flatiron Institute

Babuška Forum

The Physics Information Computation of Perennial Machine Learning and Discovery

Chandrajit Bajaj , University of Texas at Austin

Oden Institute & College of Natural Sciences

Learning and Design from Large-Scale Interventions in Cellular Systems

Jiaqi Zhang , PhD Candidate, Massachusetts Institute of Technology

Oden Institute & Dept. of Statistics and Data Sciences

Learning Theory for the AI for Science Era

Ambuj Tewari , Professor, University of Michigan

Oden Institute & Dept. of Mathematics

Digital Twins: Contributions of SciML/AI and challenges

Sebastian Reich , Professor, University of Potsdam

Center for Autonomy Seminar

Learning for Autonomy: Trust Modeling in Human-Robot Collaboration and Distributional Multi-Agent Reinforcement Learning

Yue Wang, PhD , Professor, Warren H. Owen – Duke Energy Professor of Engineering - Associate Dean for Research, School of Mechanical and Automotive Engineering College of Engineering and Applied Science (CECAS) Clemson University

Center for Autonomy & Center for Computational Medicine

Robust Machine Learning for Biomedical Data: Efficiency, Reliability, and Generalizability

Assistant Professor Chenyu You , Stony Brook University

Reinforcement Learning for Large-Scale Games

Dr. João Hespanha

2026 Finite Element Rodeo

2026 Finite Element Rodeo

Center for Autonomy Seminar

Control and Adaptation Under Latent Risk and Non-Stationary Interactions

Yorie Nakahira , Assistant Professor, Department of Electrical and Computer Engineering at Carnegie Mellon University

Oden Institute Seminar

Differentiable underwater acoustics for sensitivity analysis and data assimilation operation within ocean state estimation

Ivana Escobar