I am a postdoctoral fellow in the department of Mechanical and Industrial Engineering at the University of Toronto, working with Timothy Chan on problems at the intersection of inverse optimization and strategy decisions in sports.  In the fall of 2021, I will start as an assistant professor of statistics at Brigham Young University.

I'm broadly interested in problems where observed human decisions diverge from "optimal" prescriptions estimated by statistical models.  Inverse optimization provides a methodology to reconcile optimization models with observed decisions, which can help bridge gaps and create understanding between analysts and decision makers.  Most of my experience with these problems have been in sports contexts.  


In 2020, I completed my PhD in statistics under the supervision of Luke Bornn at Simon Fraser University.  During my PhD I worked part-time as a basketball operations analyst for the Sacramento Kings.  Prior to my PhD, I studied statistics at Brigham Young University (MSc and BSc).     

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