I am an Assistant Professor of Statistics at the University of South Carolina. I earned my PhD in Statistics from the University of Florida in 2018 under the supervision of Malay Ghosh. From 2018-2020, I was a postdoc at the University of Pennsylvania, supervised by Yong Chen and Mary Boland.

My methodological and theoretical research focuses on high-dimensional modeling and scalable machine learning algorithms for large and complex data sets. My recent work has been on developing flexible (mostly Bayesian) methods that relax assumptions such as linearity, Gaussianity, and/or independence. My applied research focuses on meta-analysis, spatiotemporal modeling, and analysis of electronic health records.

I am motivated by using statistics and machine learning to solve real-world problems. I have worked in a variety of application areas, including irrigation forecasting, predicting cognitive function trajectories in older adults, quantifying publication bias in meta-analysis, and modeling adverse pregnancy outcomes.

Curriculum vitae | Google Scholar | Twitter