I am a post-doc researcher at Stanford University, hosted by Percy Liang and Moses Charikar. The goal of my research is to develop generic tools for building the next generation of artificial intelligence. I am interested in convex and non-convex optimization, deep learning, distributed algorithms, statistical learning theory, crowdsourcing, etc. Prior to Stanford, I got Ph.D. in computer science from UC Berkeley, where I was very fortunate to be advised by Michael Jordan and Martin Wainwright. I got a Master degree in statistics from Berkeley, and a Bachelor degree in computer science from Tsinghua University. I enjoyed a number of wonderful internships over the years. I have been working at Microsoft Research Asia on modeling user clicks in web search and online advertising. I also worked with Vanja Josifovski at Google on recommender systems, with Lin Xiao at Microsoft Research on optimization algorithms, and with the web search team of Baidu on burst detection.