Hello! I am a second-year Ph.D. Student in the School of Computer Science at Carnegie Mellon University. I am fortunate to be advised by Steven Wu and Hoda Heidari, and supported by the NDSEG Fellowship. I am generally interested in research topics at the intersection of machine learning, game theory, optimization, and econometrics.

Before coming to CMU, I graduated summa cum laude from Penn State University with Bachelor of Science degrees in Computer Science and Physics.

News

• May 2021: One paper accepted to ICML!
• April 2022: I was awarded the NDSEG Fellowship!
• April 2022: One paper accepted to FORC 2022! Excited to attend my first in-person conference!
• March 2022: Our work was selected for two oral presentations at the Learning with Strategic Agents Workshop at AAMAS 2022!
• January 2022: I joined Vitable Health part-time as a machine learning consultant!
• December 2021: I attended NeurIPS (virtually). Here's a link to my oral presentation at the WHMD workshop.
• October 2021: Our work on Bayesian Persuasion for Algorithmic Recourse was selected for an oral presentation at the Workshop on Human and Machine Decisions at NeurIPS 2021!
• September 2021: One paper accepted to NeurIPS!
• August 2021: I wrote a blog post for CMU's Machine Learning Blog! Check it out here.
• July 2021: Our work on Strategic Instrumental Variable Regression was selected for a spotlight presentation at the Algorithmic Recourse Workshop at ICML 2021! View a recording of my talk here.
• June 2021: I presented our work on Stateful Strategic Regression at FORC 2021! View my short talk here and my long talk here.