Upcoming Seminars

A Data-Driven Framework for Flood Mitigation Using Transformers and Reinforcement Learning

Friday, February 6, 2026 3:30pm to 4:20pm
MacLean Hall

Speaker: Shaoping Xiao, Department of Mechanical Engineering

Colloquium - A Hessian View of Fine-tuning, Task Attribution, and Reinforcement Learning: Three Vignettes in Modern Machine Learning promotional image

Colloquium - A Hessian View of Fine-tuning, Task Attribution, and Reinforcement Learning: Three Vignettes in Modern Machine Learning

Friday, February 13, 2026 3:30pm to 4:30pm
Schaeffer Hall
We welcome Hongyang Zhang, Ph.D., from Northeastern University, whose research lies at the intersection of machine learning, optimization algorithms, and statistical learning.

Past Seminars

Attractor-like dynamics extracted from brain recordings underlie bistable perception in auditory streaming

Friday, January 27, 2023 3:30pm to 4:20pm
MacLean Hall

Speaker: Rodica Curtu, Dept. of Mathematics

Knotted Proteins

Friday, January 20, 2023 3:30pm to 4:20pm
MacLean Hall

Speaker: Isabel Darcy, Dept. of Mathematics

CS Colloquium - Probabilistic machine learning for predictive models of mobile health data: a use case on menstrual cycle length prediction promotional image

CS Colloquium - Probabilistic machine learning for predictive models of mobile health data: a use case on menstrual cycle length prediction

Friday, September 23, 2022 4:00pm to 5:00pm
Seamans Center
Speaker

Iñigo Urteaga

Abstract

Mobile health (mHealth) apps, such as menstrual trackers, provide a rich source of self-reported observations: they provide day-to-day health indicators and behaviors, which can help shed light onto an individual's wellness and health over time. However, self-tracked data collected via mHealth apps have questionable reliability, as they hinge on user adherence. Because mHealth app users may skip tracking relevant health information, disentangling physiological...

Stochastic Analysis and Applications

Friday, April 29, 2022 3:30pm to 4:20pm
MacLean Hall

Speaker: Palle Jorgensen, Dept. of Mathematics

High energy physics with quantum computers

Friday, April 22, 2022 3:30pm to 4:20pm
MacLean Hall

Speaker: Yannick Meurice, Dept. of Physics and Astronomy