./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 working with 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, where I was advised by Nagaraj K. Neerchal.
My research focuses on methodological and computational advances for high dimensional spatial/spatial extremes data. A key aspect of my research over the past few years has been leveraging the predictive capabilities of deep learning within the inferential framework of Bayesian inference. I’m interested in environmental and ecological applications, especially around environmental epidemiology, extreme weather, and climate change. Most of my work is collaborative and often interdisciplinary in nature.
./research interests
- Geostatistics
- Probabilistic ML
- Bayesian inference
- Causal inference
- Spatial and multivariate extremes
- Extreme weather and climate change
- Uncertainty quantification