I am a first-year computer science Ph.D. student at the University of Michigan. I am advised by Professor Michael P. Wellman in the Strategic Reasoning Group. My research interests lie at the intersection of artificial intelligence and algorithmic game theory. More specifically, I am interested in developing new techniques to construct and analyze simulation-based games as well as finding new real-world applications for simulation-based games. I am also passionate about teaching, mentorship, and working to increase diversity within CS.
In May 2021 I graduated from Davidson College with a Bachelor of Science in Computer Science (High Honors) and Mathematics. For my honors thesis I proposed a novel machine learning model that enables a new type of analysis for games with a variable number of players; I was advised by Bryce Wiedenbeck. Before getting into game theory research, I did computer vision research in Summer 2019 with Professor R. Iris Bahar at Brown University through the DREU program.Click here to learn more about my current research as well as my undergraduate research at Davidson and at Brown. Click here to view my CV.
In my spare time, I enjoy working out, playing board/card games with friends, and walking. Things I am passionate about include: