About Me

Hello! I am an assistant professor at the Computer Science Department, the University of Arizona. From September 2017 to June 2019, I was a postdoctoral researcher at the machine learning 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.

You can reach me by email at chichengz at cs dot arizona dot edu.

To prospective PhD students: you are welcome to apply to our CS or Applied Math, or Statistics PhD programs. I am mostly looking for self-motivated students with solid math background and/or theoretical research experience - please feel free to send me an email if you think there is a match between our research interests.


My research interests lie in 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 and uncertainty in machine learning.




Workshop Contributions