Past Events

A PDE-based model-free algorithm for Continuous-time Reinforcement Learning

Data Science Seminar

Yuhua Zhu (UCLA)

Generative AI for the statistical computation of fluids

Data Science Seminar

Samuel Lanthaler (Caltech)

Transitioning from Professor to Data Scientist

Industrial Problems Seminar

Harini Chandramouli (NextEra Energy)

Theory for diffusion models

Data Science Seminar

Sitan Chen (Harvard)

Evolution of Diffusion Models: From Birth to Enhanced Efficiency and Controllability

Industrial Problems Seminar

Chieh-Hsin (Jesse) Lai (Sony)

On New Results on Ensemble Methods for Learning, Optimization, and Filtering

Data Science Seminar

Michael Herty (RWTH Aachen University)

Regulatory Science Challenges for AI Imaging Devices

Industrial Problems Seminar

Michelle Mastrianni (FDA)

Mathematics for finding the right dose: my journey from academia to the pharmaceutical industry

Industrial Problems Seminar

Marco Avila Ponce de Leon (Mathworks)

Formally verified AWS authorization

Industrial Problems Seminar

Sean McLaughlin (Amazon Web Services)

Body Composition Analysis: Insights Through Regression and Machine Learning

Data Science Seminar

Nadia Drenska (Louisiana State University)