Scholar
Han Liu
Google Scholar ID: XaFT1o4AAAAJ
Orrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern University
Citations & Impact
Citations
14,132
H-index
53
i10-index
172
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- He has received numerous research awards including the Presidential Early Career Awards for Scientists and Engineers, the Alfred P Sloan Fellowship in Mathematics, the IMS Tweedie New Researcher Award, the ASA Noether Young Scholar Award, the NSF CAREER Award, the Howard B Wentz Award, and the Umesh Gavaskar Memorial Best Dissertation Award. He has also served as an associate editor for the Journal of American Statistical Association, the Electronic Journal of Statistics, the Technometrics, and the Journal of Portfolio Management. He has also been serving as area chairs for NeurIPS, ICML, ICLR conferences.
Research Experience
- He has been the director of the deep reinforcement learning center at Tencent AI Lab and had been a professor at Princeton University and Johns Hopkins University.
Education
- Degree: Joint PhD in Machine Learning and Statistics; School: Machine Learning Department, Carnegie Mellon University; Advisors: John Lafferty, Larry Wasserman.
Background
- Research Interests: Modern artificial intelligence and computer systems, exploiting large foundation models and probabilistic graphical models to revolutionize science, engineering, and business. Bio: Han Liu directs the MAGICS lab at Northwestern University and chairs the Graduate Program Enhancement Committee (GPEC) at Northwestern Computer Science.
