I am a data science doctoral student in the UChicago Knowledge Lab working with James A. Evans. 

I study the drivers of innovation and discovery — how new ideas emerge and spread, how socio-technical institutions shape collective evaluation and exploration, and how best to govern scientific and technological advancements. I develop and use toolkits spanning network analysis, simulation models, causal inference, and human-in-the-loop AI. I am particularly interested in how generative AI automates scientific discovery, idea evaluation, and social science methodologies. My papers appear in leading peer-reviewed journals across general science, network science, and social sciences, including Nature Communications, as well as in top interdisciplinary computing conferences such as WWW/TheWebConf.

I have backgrounds in mathematics, computer science, social science, and evolutionary biology. Before Chicago I graduated from Michigan State and was a research associate at Harvard Business School. I widely collaborate with social computing researchers outside Chicago. Drop me an email if you are interested in working together!