Your browser is unsupported

We recommend using the latest version of IE11, Edge, Chrome, Firefox or Safari.

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 Heading link

Upcoming Seminars Heading link

Sep 11 2024

Statistics and Data Science Seminar: Bayesian Method of Borrowing Study-Level Historical Longitudinal Control Data for Mixed-effects Models with Repeated Measures, by Dr. Hong Li

Wednesday, 4:00 pm–4:50 pm
636 SEO
Sep 18 2024

Statistics and Data Science Seminar: TBA, by Seyoon Ko

Wednesday, 4:00 pm–4:50 pm
Zoom
Oct 2 2024

Statistics and Data Science Seminar: TBA, by Bradley Jones

Wednesday, 4:00 pm–4:50 pm
636 SEO
Oct 9 2024

Statistics and Data Science Seminar: TBA, by Hyebin Song

Wednesday, 4:00 pm–4:50 pm
636 SEO
Oct 23 2024

Statistics and Data Science Seminar: Organizational Effectiveness: A New Strategy to Leverage Multisite Randomized Trials for Valid Assessment, by Guanglei Hong

Wednesday, 4:00 pm–4:50 pm
636 SEO
Nov 13 2024

Statistics and Data Science Seminar: TBA, by Dr. Yingda Lu

Wednesday, 4:00 pm–4:50 pm
636 SEO