I am a second year PhD student in Management Science & Engineering at Stanford University, co-advised by Professors Guido Imbens and Irene Lo.

I work on causal inference and market design issues on platforms. Currently, I am designing experiments and estimators to evaluate matching market interventions.

I have experience conducting observational studies, crowdsourced experiments, and laboratory experiments to (1) build advertising products for web search, (2) develop human-computer interaction technology (e.g. Explainable AI), (3) and elucidate neurobiological mechanisms.

Before doctoral work

I was simultaneously a full time MS student in Applied Statistics for Social Science Research at New York University and a full time Research Intern in the Computational Social Science group at Microsoft Research. During some of that time, I was also a part time Research Technician working on Explainable Artificial Intelligence in the Cognitive and Data Science Lab at Rutgers University—Newark.

At New York University, I was mentored by Professors Jennifer Hill and Ravi Shroff. During most of that time I was a full time Research Intern in the Computational Social Science group at Microsoft Research, where I was hosted and mentored by Dr. Shawndra Hill, Dr. David Rothschild, and Professor K. Sudhir (Sudhir Karunakaran). I was also mentored by Professor Patrick Shafto and Dr. Scott Cheng-Hsin Yang at the Cognitive and Data Science Laboratory, where I worked on machine learning and teaching problems in Explainable Artificial Intelligence (XAI).

My BA is in Biology and Philosophy from Rutgers University—Newark, where I wrote my Honors thesis on age differences in category learning from probabilistic reinforcement.