About Me

I’m an Applied Scientist at Amazon. I completed my PhD in statistics at the University of Wisconsin–Madison, where I worked with Professor Matthias Katzfuss. My PhD work focused on Bayesian optimization, uncertainty quantification, and approximate posterior inference.

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 my PhD I had the pleasure of working as an intern at Microsoft Research New England and Toyota Research Institute.