Leads the AI research team at JPMorgan Chase & Co.; collaborated with Heather Lynch from the Department of Ecology & Evolution at Stony Brook University on age-structured modeling of penguin population dynamics.
Education
Earned a Ph.D. in Electrical Engineering from Stony Brook University, advised by Monica Bugallo and co-advised by Petar Djuric. Dissertation titled 'Bayesian Learning for Complex Systems under Model Uncertainty,' focused on developing Monte Carlo methods for Bayesian inference in high-dimensional probability models in the case of regime switching.
Background
AI Research Lead at JPMorgan Chase & Co., focusing on deep generative models for time series data and robust uncertainty quantification for deep learning methods.
Miscellany
In free time, teaches courses at his alma mater, Stony Brook University. Most recently, taught 'ESE 531: Statistical Learning and Inference' in Spring 2024.