Past Events

Are the measurement data enough: an instability study for an inverse problem for the stationary radiative transport near the diffusion limit

Data Science Seminar

Hongkai Zhao (Duke University)

Graph AI: Science and Industrial Applications

Industrial Problems Seminar

Jie Chen (IBM Research)

Spatial Stochastic modeling for population dynamic

Data Science Seminar

Wai-Tong (Louis) Fan (Indiana University)

Academia, to Industry, to the NBA – Navigating a Non-Academic Career with a PhD

Industrial Problems Seminar

Daniel Martens (Minnesota Timberwolves)

Advancing Machine-Learned Interatomic Potentials: Enhancing Accuracy and Robustness in Materials Science Applications

Data Science Seminar

Yangshuai Wang (University of British Columbia)

Viva la Revolución of Open Source Large Language Models: Unleashing the Dark Horse in AI Innovation

Industrial Problems Seminar

Patrick Delaney (BloomBoard)

On small and large scales in training physics-informed neural networks for partial differential equations

Data Science Seminar

Zhongqiang Zhang (Worcester Polytechnic Institute)

Computer vision, mostly without AI

Industrial Problems Seminar

Elena Yudovina (CyberOptics)

Fourier representations for fast Gaussian process regression

Data Science Seminar

Philip Greengard (Columbia University)

Math in Sports, for Fun and Profit

Industrial Problems Seminar

John Sears (Los Angeles Dodgers)