Room: CS 2.06
I am an assistant professor at the Department of Computer Science where I am also part of the Artificial Intelligence and Human-Centered Computing research group.
I did my Ph.D. in computer science from Harvard University and subsequently was a postdoc at the Data Science Institute of Columbia University and at the Max Planck Institute of Software Systems.
I am broadly interested in the theoretical foundations of AI/ML systems. I often incorporate tools from computational social choice, game theory, and machine learning theory in my research. Currently, I am interested in the following research directions.
- Fairness: How do we ensure that the decisions made by AI/ML systems satisfy desirable fairness guarantees?
- Reinforcement Learning: How do we design RL algorithms, particularly under performativity (e.g. recommender systems) and multiple objectives?
- Alignment: How do we align/incentivize large AI/ML systems so that they achieve desirable outcomes?
To Prospective Students: If you have a strong background in Computer Science, Mathematics, or Statistics, and you are interested in my research [Google Scholar], please send me an email with your CV and a brief description of your research interests.