Jason B. Cho

I am a fourth-year Ph.D. student in Statistics at the Department of Statistics and Data Science at Cornell University under Professor David S. Matteson. My resarch interest is in Bayesian Time-series Analysis. In our most recent work, we present a novel method for estimating time-varying volatility model called Adaptive Stochastic Volatility (ASV). You may find the preprint in this link .

Before joining the Ph.D. program, I completed my Masters degree in animal science, specializing in Precision Agriculture under professor Quirine M. Ketterings, Joe Guinness and Jan van Aardt. My research focused on the spatio-temporal analysis of yield monitor data, high-resolution geo-referenced yield estimates, and development of statistical tools to help farmers make better nutrient management decisions.

I am also actively looking for an internship position for Summer 2025.