Linjun Zhang
Associate Professor of StatisticsDepartment of Statistics, Rutgers University
My research connects statistical foundations with trustworthy and efficient AI. My recent research interests include efficient AI evaluation, AI safety (including data privacy, copyright, and algorithmic bias), statistical principles of AI agents, and representation learning.
I received my Ph.D. in Statistics from the University of Pennsylvania in 2019, advised by T. Tony Cai.
01 / RESEARCH
Research interests
Efficient AI evaluationStatistical efficiency · Evaluation reliability
AI safetyData privacy · Statistical watermarking · Algorithmic bias
AI agentsStatistical principles of harness engineering
Representation learningSelf-supervision · Learning theory
03 / SUPPORT
Research support
My research is partially supported by NSF CAREER DMS-2340241 (PI); NSF DMS-2413107 (co-PI); and the Renaissance Philanthropy AI for Math Fund (co-PI).
04 / SERVICE
Academic service
Associate Editor
- Journal of the American Statistical Association (JASA)Theory and Methods (T&M)Applications and Case Studies (A&CS)Reviews
- The Annals of Applied Statistics (AOAS)
- Statistical Science (STS)
- Journal of Privacy and Confidentiality (JPC)
- Transactions on Machine Learning Research (TMLR)
Conference Organizer
- Analysis of Census Noisy Measurement Files and Differential Privacy Workshop, 2022 (Co-chair with Cynthia Dwork, Robin Gong, and Weijie Su)
- STAI-X 2026 (Co-chair with Edgar Dobriban, Xihong Lin, Wenyi Wang, and Tian Zheng)
- ICSA China 2027 (Co-chair with Jianfeng Feng and Jun S. Liu)
Area Chair
- NeurIPS
- ICML
- ICLR
