Assistant Professor
University of Connecticut, Connecticut, United States
Dr. Harris is an Assistant Professor in the Department of Statistics at the University of Connecticut. His research is in scientific machine learning, black box uncertainty quantification, operator model- ing, and generative models and flow matching. Current projects include non-exchangeable confor- mal inference, climate model emulation and integration with deep generative models, probabilistic conditional flow matching, and deep learning for West Nile virus forecasting. Past research includes work in functional anomaly detection, change point detection, and robust nonparametric statistics.
Disclosure information not submitted.
Thursday, March 26, 2026
9:10 AM - 9:20 AM PDT