I am an NSF Mathematical Sciences Postdoctoral Fellow in the Department of Applied Mathematics and Statistics at the Colorado School of Mines. I am also a Visiting Scientist at the National Center for Atmospheric Research. My research focuses on space and space-time data, Bayesian methods, and improving statistical methods used in climate science.
I received my Ph.D. from the Department of Statistics at the University of Washington where I was advised by Adrian Raftery and Cecilia Bitz. My dissertation was on Space-Time Contour Models for Sea Ice Forecasting. Prior to UW, I completed a master's in the Statistics Department at Harvard advised by Luke Bornn. My research looked at the biases introduced from using gridded data as a proxy for point-level climate data. I have also worked in the Statistical Sciences Group at Los Alamos National Laboratory.
Nov. 2020: Check out our new article in Amstat News: Panel Shares Advice on Applying for NSF Fellowships. We provide tips on how to approach the NSF Graduate and Postdoctoral Fellowships.
Jul. 2020: New preprint posted: Contour Models for Boundaries Enclosing Star-Shaped and Approximately Star-Shaped Polygons. This paper develops the Gaussian Star-shaped Contour Model (GSCM) for inferring distributions from multiple fully-observed contours.
Jun. 2020: I successfully defended my dissertation, Space-Time Contour Models for Sea Ice Forecasting.