Ziping Xu
Scholar

Ziping Xu

Google Scholar ID: V-VcaYIAAAAJ
Postdoc Fellow at Harvard University
Statistical Reinforcement learningMachine Learning TheoryMobile Health
Citations & Impact
All-time
Citations
740
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • - 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