- Paper “Statistical Inference for Misspecified Contextual Bandits” with Yongyi Guo on arXiv (May 2025)
- Our paper on non-stationary bandit was accepted at RLC 2025 (May 2025)
- Talk at NESS 2025 on DAG-informed Reward Construction using Mediators (April 2025)
- Talk for mDOT Webinar Series on Reinforcement Learning for Digital Interventions in the Social Dyadic Setting (April 2025)
Research Experience
- Assistant Professor, School of Data Science and Society, UNC Chapel Hill (starting July 2025)
- Postdoctoral Fellow, Harvard University (2023-2025)
- Involved in the ADAPTS-HCT clinical trial, leading the RL algorithm design for adaptive delivery of digital interventions to improve medication adherence among adolescents and young adults who have undergone bone marrow transplantation
Education
- Ph.D. in Statistics, University of Michigan, Advisor: Ambuj Tewari
- B.S. in Data Science, Peking University, Advisor: Song Xi Chen
- Postdoctoral Fellow in Statistics, Harvard University, Advisor: Susan Murphy (2023-2025)
Background
Research interests: Exploring new frontiers of data-driven decision-making approaches (e.g., Reinforcement Learning) with applications in the digital intervention domain, e.g., mobile health. Brief introduction: Assistant Professor at the School of Data Science and Society, University of North Carolina at Chapel Hill.
Miscellany
Actively looking for motivated Ph.D., Master, and Undergraduate students to join his research group