About Me

Hello! I am an assistant professor at the Computer Science Department, University of Arizona. From September 2017 to June 2019, I was a postdoctoral researcher at the machine learing group of Microsoft Research NYC. I got my PhD in Computer Science at UCSD, where I was lucky to have Prof. Kamalika Chaudhuri as my advisor.

Here is a copy of my CV.

I am teaching CSC 665 Section 2: Machine Learning Theory in the Fall 2019 semester.

I am actively looking for self-motivated students with solid math backgrounds - please send me an email if you are interested in working with me!


My research interests lie in both theory and applications of machine learning. I primarily work on interactive learning (e.g. active learning, contextual bandits, etc), where learning algorithms are involved in data collection processes. Specifically, I am interested in:

designing and analyzing interactive learning algorithms that have data-efficiency, computational efficiency, and robustness guarantees, as well as

identifying new interaction models which learning algorithms can benefit from.

I am also interested in topics in unsupervised learning, as well as quantifying and utilizing confidence in machine learning.




Workshop Contributions