Multiple papers accepted by top conferences such as ICML 2025, NeurIPS 2024, TMLR; received an NSF award on approximate sampling based exploration for sequential decision making; served as an area chair for AISTATS 2024 and ICLR 2024.
Research Experience
Served as a Postdoctoral Scholar Research Associate at California Institute of Technology; currently an Assistant Professor at Duke University.
Education
Postdoctoral Scholar Research Associate in the Department of Computing and Mathematical Science at California Institute of Technology; Ph.D. in the Department of Computer Science at the University of California, Los Angeles.
Background
Tenure-track assistant professor in the Department of Biostatistics & Bioinformatics, Department of Computer Science, and Department of Electrical & Computer Engineering at Duke University. Research interests include Machine Learning, Artificial Intelligence, Data Science, Optimization, Reinforcement Learning, High Dimensional Statistics, and their applications to real-world problems including Bioinformatics and Healthcare. The goal is to develop computationally- and data-efficient machine learning algorithms with both strong empirical performance and theoretical guarantees.
Miscellany
Contact: pan (DOT) xu (AT) duke (DOT) edu; Address: 2424 Erwin Road Room 9032, Durham, NC 27705; ORCID:0000-0002-2559-8622; Google Scholar