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About Wenjing Zheng

Wenjing Zheng, PhD is a Visiting Assistant Professor at the Division of Biostatistics in the School of Public Health at the University of California, Berkeley. She is also serving as the executive director for the Center for Targeted Learning in UC Berkeley. Previously, she was a Postdoctoral Fellow in the Traineeship in AIDS Prevention Studies program at the Center for AIDS Prevention Studies in the University of California, San Francisco.
Wenjing carried out her doctoral training at the Division of Biostatistics in the University of California, Berkeley, working under the mentorship of Mark van der Laan, Maya Petersen, and Antoine Chambaz (Université Paris Ouest Nanterre). Prior to her doctoral studies, she received a B.A. in Mathematics and a M.A. in Biostatistics at the University of California, Berkeley. 
Broadly, Wenjing's research lies at the intersection between statistics, epidemiology, and clinical medicine. She is particularly interested in developing and applying novel methodologies for study design and analysis in public health and medicine. Wenjing also has a strong interest in closely collaborating with subject-matter experts to address scientific questions across all areas of clinical and epidemiological research.  
Wenjing's methodological research includes semiparametric theory, double robust estimation, targeted machine learning prediction, causal inference in observational studies, complex longitudinal data structures, missing data, mediation analysis, evaluation of community-based interventions, construction and inference of adaptive clinical trial designs, and evaluation of dynamic/individualized treatment strategies. These research topics are driven by various clinical and epidemiological applications, including treatment and prevention of HIV in resource-limited settings, comparative effectiveness research in mental health, maternal and child health outcomes.


Present Visiting Assistant Professor, University of California, Berkeley

Curriculum Vitae

Research Interests

Causal Inference, Semiparametric Inference, Targeted Machine Learning, Targeted Maximum Likelihood Estimation, Data-adaptive Estimation, and Adaptive Trial Designs

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Honors and Awards

  • Young Investigator Award, CROI 2016
  • Extraordinary Student Research Award, Biostatistics, UC Berkeley, 2014
  • Chateaubriand Fellowship 2012


2011 - 2014 PhD, University of California, Berkeley ‐ Division of Biostatistics

Contact Information

101 Haviland Hall
University of California
Berkeley, CA 94720


Articles (7)

Book Chapters (2)