Summer Hangouts: Sourav Dey
Bayesian optimization, with applications in chemical reaction discovery and optimization
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Machine learning in the low data regime. How do you find the optimal solution to a problem when the objective function is expensive to evaluate. We will also discuss how to optimize these types of black box functions in a sparse space.
Learn More About Sourav Dey, DDDI Postdoctoral Fellow
DDDI’s 2025 Summer Hangouts program offers students the opportunity to participate in informal, hands-on tutorials led by our postdoctoral research fellows. These tutorials are open to students from all backgrounds and skill levels and cover various data science methods and topics.
Our Hangouts series this year will explore machine learning, statistics, optimization, and generative AI for scientific discovery across fields. Hangouts will be held twice a week on Tuesdays and Thursdays, from June 10th through June 25th. A pizza lunch will be provided.