I am a fourth year PhD student in statistics at the University of Wisconsin-Madison working in the Katzfuss group (formerly at Texas A&M University). I am interseted in Bayesian optimization, approximate posterior inference and Gaussian process approximations.
I completed a combined B.S./M.S. in Applied Math from the University of Colorado Boulder in May 2018. After CU Boulder I worked in the Statistical Engineering Division at the National Institute of Standards and Technology (NIST). During the summer of 2022 I was a research intern at Microsoft Research New England. In the summer of 2023 I was a Research Intern at Toyota Research Insitute in Los Altos, CA.
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