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 study innovation from two complementary perspectives spanning humans and machines: social processes of innovation, where I ask how social systems can be designed to foster innovation; and automated innovation, where I develop and apply AI/language models to augment and automate human scientific and creative work. Methodologically, my toolkit extends beyond AI/language models to include econometrics/causal inference, simulation modeling, network analysis, and experiments. In other work, I study the broader societal perspectives of AI -- responsibility, interpretability, and AI evals.

Projects I have led and supervised as first and corresponding author have been published in leading venues across both computing and the 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 prestigious outlets in their respective fields such as Poetics.

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.