Welcome! I am an Assistant Professor of Statistics at the University of South Carolina. From 2018 to 2020, I was a postdoc at the University of Pennsylvania, supervised by Yong Chen and Mary Boland. I received my PhD in Statistics from the University of Florida in 2018 under the supervision of Malay Ghosh. I completed my Bachelor’s degree at Cornell University and a Master’s degree at the University of Massachusetts Amherst, and I also worked previously in industry as an engineer and as a financial analyst.
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.
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