I am a data science doctoral student at the University of Chicago, a scholar of AI + Innovation, and a computational social scientist. I am affiliated with Knowledge Lab working with James A. Evans.

In my main research stream, I develop and apply AI/language models to study the drivers of innovation and discovery. My toolkit also includes substantial use of econometrics/causal inference, simulation modeling, network analysis, and experiments. In other work, I focus more broadly on the social impacts of AI -- responsibility, interpretability, and AI evals.

The research projects I led/supervised have been published in leading venues in both computing and social sciences, including Nature Communications, Quantitative Science Studies, ICLR, and The Web Conference. I also collaborate broadly with scholars in statistics, business, and social sciences, with work appearing in Poetics, among others.

Before Chicago I studied computer science and evolutionary biology at Michigan State, worked in the fintech industry, and did a research associateship in the Organizational Behavior Unit at Harvard Business School. Outside of work I am a big sports fan. 

Feel free to email me if you'd like to collaborate.