Hello there! I’m a third-year PhD student at Cornell’s School of Information Science. My research interests center primarily on policy-relevant applications of adaptive/online experimentation and causal inference methods. I love open source software and enjoy building tools and learning new technologies whenever I can. I’m very thankful to have my work supported by an NSF Graduate Research Fellowship!

News

May 2025	Jointly presented on Anytime-valid Inference in Adaptive Experiments: Covariate Adjustment and Balanced Power at ACIC 2025.
October 2024	Presented Data-Adaptive Experimentation to Find Contexts with the Most and Least Discrimination at CODE@MIT 2024.
August 2024	Data-Adaptive Experimentation to Find Contexts with the Most and Least Discrimination was accepted for a presentation at ASA 2024.
July 2024	Awarded an AWS Cloud Computing Grant (“Data-Adaptive Experiments to Discover Discrimination in Context”).
May 2024	Received Outstanding PhD TA Award for Studying Social Inequality with Data Science taught by Ian Lundberg.
May 2024	Jointly presented Data-Adaptive Experimentation to Find Contexts with the Most and Least Discrimination at ACIC 2024.
April 2023	Awarded an NSF Graduate Research Fellowship.