My research answers questions in health economics, artificial intelligence, and antitrust and competition policy. My job market paper Hooked on Flavor: Addiction, Present Bias, and the Consequences of E-Cigarette Flavor Policy examines how flavored e-cigarette regulations affect addiction and consumer behavior through a dynamic structural model. I also study the competitive effects of pricing algorithms and recommendation systems, an area of growing antitrust enforcement interest. My paper Algorithmic Pricing, Recommendation Systems, and Competition is currently under a Revise and Resubmit at the International Journal of Industrial Organization, and multiple of my papers in this area have each received a best paper award at The University of Arizona.

I am well-versed in quasi-experimental techniques such as difference-in-differences, regression discontinuity design, and synthetic control, along with applying structural models, both static and dynamic, to help answer empirical questions. I implement these methods using R, Python, MATLAB, Julia, and C++, supported by Git/GitHub for version control, Docker for reproducible environments, and Slurm for high-performance computing.

When I'm not doing economics, you can usually find me traveling with my wife, hanging out with our cat, at the gym training calisthenics, running in the Tucson desert, or talking about the Chicago Bears 🐻⬇️.