About Me

Hello! I am a postdoctoral researcher at Microsoft Research NYC. I got my PhD in Computer Science at UCSD, where I was lucky to have Prof. Kamalika Chaudhuri as my advisor. Before that, I was an undergraduate student in Department of Machine Intelligence, School of EECS, Peking University, China, where I spent a great time studying machine learning theory with Prof. Liwei Wang. In Summer 2015, I was a research intern at Yahoo Labs NYC, mentored by Dr. Alina Beygelzimer. In Summer 2016, I did a second internship at Yahoo Research NYC, working with Dr. Alina Beygelzimer and Dr. Francesco Orabona.

My (slightly outdated) CV can be found here.


My research interests lie in both theory and applications of machine learning. I primarily work on interactive learning (e.g. active learning, online learning, etc) and confidence-rated prediction, designing practical algorithms as well as formalizing their theoretical guarantees.




Workshop Contributions