Pan Xu

Pan Xu is a tenure-track Assistant Professor at Duke University with joint appointments in the Department of Biostatistics & Bioinformatics, Department of Computer Science, and Department of Electrical & Computer Engineering. He earned his Ph.D. in Computer Science from the University of California, Los Angeles (2021) and completed postdoctoral training at the California Institute of Technology (2021-2022).

• Research Focus: Machine Learning, Reinforcement Learning, Optimization, and High-Dimensional Statistics with applications in Bioinformatics and Healthcare.
• Key Contributions: Developing algorithms for robust sequential decision-making under uncertainty, improving Thompson Sampling efficiency, and advancing multi-agent reinforcement learning.
• Scientific Recognition:
  • NSF award for exploration in decision-making (2023)
  • Whitehead Scholar award (2023)
  • PIMCO Postdoctoral Fellowship (2022)
  • Best Paper Award at ACM FAccT (2023)
• Teaching: Offers graduate courses in machine learning and decision-making frameworks.
• Service: Serves as Area Chair for ICML, NeurIPS, and AAAI; Action Editor for TMLR.