Dr. Han Liu

Biography

Han Liu directs MAGICS (Modern Artificial General Intelligible Computer Systems) lab at Northwestern University. He is also the director of the deep reinforcement learning center at Tencent AI Lab and a professor at Princeton University and Johns Hopkins University. Liu received a joint PhD in Machine Learning and Statistics from Carnegie Mellon University, where he was advised by John Lafferty and Larry Wasserman. His research integrates modern artificial intelligence with computer systems, exploiting large foundation models and probabilistic graphical models to revolutionize science, engineering, and business. Han Liu has received numerous research awards, including the Alfred P. Sloan Fellowship in Mathematics, the IMS Tweedie New Researcher Award, the ASA Noether Young Scholar Award, the NSF CAREER Award, and the Howard B. Wentz Award. He has also been the Umesh Gavaskar Memorial Dissertation Award recipient. Additionally, Liu serves as an associate editor for several journals including the Journal of the American Statistical Association and the Electronic Journal of Statistics. He has held leadership roles as an area chair for the NeurIPS, ICML, and ICLR conferences.

Research Interests

Experience