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.

A consistent theme in my scholarship concerns the drivers of innovation and discovery in the age of AI — an age in which AI is not only a technology but also part of the institution. I study two interrelated aspects: the social processes of innovation, asking how social systems can be designed to foster innovation; and automated innovation, applying AI/language models and building infrastructures to augment and automate human scientific and creative work. Methodologically, my toolkit extends beyond AI to include econometrics/causal inference, simulation modeling, network analysis, and experiments. In other work I study broad questions related to socially responsible AI. 

Projects I have led and supervised as first and corresponding author have been published in leading venues across computing and the social sciences, including Nature Communications, Quantitative Science Studies, ICLR, EMNLP (Oral), and The Web Conference, with work also featured in Nature. Further manuscripts are under revise-and-resubmit at Research Policy and other prestigious outlets. I also collaborate widely with scholars in statistics, business, and the social sciences, and these collaborations have produced papers in NeurIPS and 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.

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