./bio
I am an Assistant Professor of Statistics in the Department of Mathematical Sciences at the University of Arkansas. Between 2021-2024, I was a postdoctoral fellow at NC State University, advised by Brian J. Reich and Adam J. Terando. I was also a member of the inaugural Climate Adaptation Postdoctoral Fellows Cohort working on national and regional fire science problems. I got my PhD in Statistics in 2021 at the University of Maryland, Baltimore County, supervised by Nagaraj K. Neerchal.
My research focuses on methodological and computational advances for high dimensional spatial/spatial extremes data. During my PhD, I used variational Bayes to model daily precipitation data using hidden Markov models. I’m particularly interested in leveraging the predictive capabilities of deep learning within the inferential framework of Bayesian inference.
./research interests
- Geostatistics
- Probabilistic ML
- Bayesian inference
- Causal inference
- Spatial and multivariate extremes
- Extreme weather and climate change
- Uncertainty quantification