Past Events

In-context learning of solution operators to linear elliptic PDEs

Data Science Seminar

Frank Cole (University of Minnesota)

Applied Machine Learning and Computer Vision: Solving Industry Challenges in Consumer Products

Industrial Problems Seminar

Sajad Vahedizade (3M)

Quantitative Finance - The Confluence of Statistics, Mathematics, and Guessing

Industrial Problems Seminar

Chris Jones (US Bank)

Flag manifolds for robust averaging, principal directions, and hierarchical data representation

Data Science Seminar

Nathan Mankovich (University of Valencia)

From Graduate Research to Industry Impact: Navigating Your Early in Career Path

Industrial Problems Seminar

Brooke Logan Ogrodnik (Metron)

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)