I am an Assistant Professor in the Department of Statistics and 2024 ConocoPhillips Data Science Faculty Fellow at Texas A&M University. Previously, I was a postdoctoral associate in the Department of Statistics and Data Science at Cornell University working with Dr. David Matteson. At Cornell, I coordinated research activities associated with the NSF funded PRISM Institute for Trans-domain Systemic Risk. I finished my PhD in 2020 at the University of Missouri advised by Dr. Christopher Wikle. My quantitative research interests span many topics, but with an underlying commonality that includes spatio-temporal modeling, Bayesian statistics, and alternative learning frameworks such as machine learning, deep learning, and reinforcement learning. I am highly motivated by scientific hypotheses with an emphasis on ecological and environmental applications.
Prospective students: Students with an interest in ecological data science and/or spatiotemporal Bayesian statistics are encouraged to apply to the PhD program in Statistics.
Interests
Spatio-temporal statistics · Reinforcement learning · Bayesian statistics · Machine learning · Ecology · Energy · Sports
Education
Ph.D. in Statistics, University of Missouri, 2020
M.A. in Statistics, University of Missouri, 2018
B.S. in Statistics & Wildlife Biology, Colorado State University, 2014