I’m somewhat a convex combination of an economist and data scientist with the weight varying between 0 and 1 depending on the problem.
My current research focuses on optimizing managerial decisions by developing algorithmic products that turn big unstructured data into actionable insights. I have two lines of research on learning to design and deliver interventions. On the design side, I work on optimizing advertising content, and on the delivery side, I work on optimizing targeting policies.
The algorithmic solutions we propose are typically motivated by basic microeconomic and behavioral principles and implemented with the state-of-the-art techniques in causal inference (both experimental and observational) and machine learning (e.g., computer vision, reinforcement learning). I’m also interested in understanding consumer behaviors more broadly and how they interact with these algorithmic products.
I’m fortuante to have my training supervised by Juanjuan Zhang, Sinan Aral (co-chairs) and Dean Eckles. Yes, pun intended. Outside of MIT, I’m working with Vishal Singh (NYU Stern School of Business). I’m also affiliated with the Initiative on the Digital Economy, Social Analytics Lab, and Behavioral Research Lab. I’m a member of the American Statistical Association.
Prior to MIT, I studied economics, management, and statistics at the University of International Business and Economics and New York University. I’ve also worked in consulting as a business analyst.