Probability, Statistics, and Data Science

Probability, Statistics, and Data Science is a broad field in developing novel probabilistic models, designing statistical methodologies, and applying cutting-edge data science techniques to solve real-world problems.  The research group in MSCS has particular interests in Probability Theory and Stochastic Analysis, Functional Data Analysis, Non- and Semi-Parametric Methods, Bioinformatics, High Dimensional Statistical Inference, Optimal Designs, Machine Learning, and Big Data Analysis.

Faculty

Upcoming Seminars

Oct 7 2026

Statistics and Data Science Seminar: From LLM Evaluation to Ranking: Low-Rank Inference for Reliable LLM Leaderboards, by Wei Sun

Wednesday, 4:30 pm–5:30 pm
636 SEO
Oct 14 2026

Statistics and Data Science Seminar: TBA, by Hang Zhou

Wednesday, 4:30 pm–5:30 pm
636 SEO
Oct 21 2026

Statistics and Data Science Seminar: TBA, by Kai Zhang

Wednesday, 4:30 pm–5:30 pm
636 SEO
Oct 28 2026

Statistics and Data Science Seminar: , by Dr. Jiehuan Sun

Wednesday, 4:30 pm–5:30 pm
SEO 636
Nov 4 2026

Statistics and Data Science Seminar: TBA, by Xinran Li

Wednesday, 4:30 pm–5:30 pm
636 SEO
Nov 18 2026

Statistics and Data Science Seminar: TBA, by Soumendra Lahiri

Wednesday, 4:30 pm–5:30 pm
636 SEO
Dec 2 2026

Statistics and Data Science Seminar: TBA, by Alexander Petersen

Wednesday, 4:30 pm–5:30 pm
636 SEO