Past Events

Reduced-order moment closure models for uncertainty quantification and data assimilation

Data Science Seminar

Di Qi (Purdue)

Feature learning and "the linear representation hypothesis" for monitoring and steering LLMs

Data Science Seminar

Misha Belkin (UCSD)

Finding the Match: The Data & Science Behind Stem Cell Donor Selection for Blood Cancer Patients

Industrial Problems Seminar

Abeer Madbouly (NMDP)

Ridge analysis of time-frequency representations in the presence of Noise

Data Science Seminar

Hau-Tieng Wu (NYU)

The Human Side of Data: Using Data Science to Drive Social Impact

Industrial Problems Seminar

Liz Sprangel (Hennepin County)

Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers

Data Science Seminar

Wenjing Liao (Georgia Tech)

Out of Academia

Industrial Problems Seminar

Kenneth Chuk (Robinhood)

Modelling Particle Systems with Many-body Equivariant Networks

Data Science Seminar

Christoph Ortner (UBC)

From Research to Reality – challenges and opportunities in complex system design

Industrial Problems Seminar

Ian Levitt (NASA)

Parametric model reduction of stochastic systems via population dynamics

Data Science Seminar

Benjamin Peherstorfer (NYU Courant Institute)