My research interest is machine learning theory, including differential privacy, off-policy reinforcement learning,domain adaptation. Recently, I am focusing on how to establish rigorous differential privacy guarantees for large scale real dataset. I am also working on an open source project Auto DP , which is an automating differential privacy computation, to help researchers obtain provable DP guarantees with advanced techniques in differential privacy.