Past Events

Math-to-Industry Boot Camp IX

The Math-to-Industry Boot Camp is an intense six-week session designed to provide graduate students with training and experience that is valuable for employment outside of academia. The program is targeted at Ph.D. students in pure and applied mathematics. The boot camp consists of courses in the basics of programming, data analysis, and mathematical modeling. Students work in teams on projects and are provided with training in resume and interview preparation as well as teamwork.

Applications are due Friday, March 15th, 2024.

Generative Machine Learning Models for Uncertainty Quantification

Data Science Seminar

Guannan Zhang (Oak Ridge National Laboratory (ORNL))

Local geometry determines global landscape in low-rank factorization for synchronization

Data Science Seminar

Shuyang Ling (New York University)

Sharing Experiences from MUDAC 2024

Industrial Problems Seminar 

Numerical Methods of Neural Network Discretization for Solving Nonlinear Differential Equations

Data Science Seminar

Wenrui Hao (The Pennsylvania State University)

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)