Past Events

Mathematicians in the age of industrial intelligence

Industrial Problems Seminar

Keith Rush (Google Deepmind)

Mean-Field Dynamics of Transformers: From Modeling to Clustering and Critical Scaling

Data Science Seminar

Shi Chen (MIT)

Scalable Normalizing Flows for Visual Generation

Industrial Problems Seminar

Jiatao Gu (Apple)

Surprises and Adventures in PCA under Heterogeneous Noise

Data Science Seminar

David Hong (University of Delaware)

From Mathematics to Risk Management: A Quantitative Perspective

Industrial Problems Seminar

Xu Li (Citi)

From Academic Rigor to Industrial Impact: Leveraging Applied Mathematics and Communication Skills in Software Engineering

Industrial Problems Seminar

Kelsey DiPietro (NextSilicon)

Extending Measure Dynamics Beyond Generative Modeling

Data Science Seminar

Jiequn Han (Flatiron Institute)

The Limit Order Book from a Quant's perspective

Industrial Problems Seminar 

Javier Acosta (Virtu)

Some advances in proximal MCMC

Data Science Seminar

Eric Chi (University of Minnesota School of Statistics)

Mathematical thinking and its development: A machine learning approach

Data Science Seminar

Sashank Varma (Georgia Tech)