Research Areas: AI for Social Goods, Computational Game Theory, Mechanism Design, Algorithms, Data/Graph Mining, Machine Learning, Discrete Mathematics

My current research aims to address the modeling and computational aspects of societal problems from AI and Machine Learning (ML) perspectives.

My main approach is to introduce computational models and design methods to compactly capture and efficiently solve societal problems. I leverage ideas from AI and computational game theory (CGT) when the problems involve strategic agents and decision-making, and ML and data science when the problems deal with predictions and inferences.

I am also interested in the design of lab and field experiments to improve and evaluate models and methods.