Fan Xia

Dr. Fan Xia is an Assistant Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF) School of Medicine. She earned her PhD in Biostatistics from the University of Washington, Seattle in June 2020. Dr. Xia's research focuses on methodological developments in causal inference, particularly causal mediation analysis, and she has made significant contributions to the field with numerous publications in high-impact statistical and medical journals.

• PhD in Biostatistics, University of Washington, Seattle (June 2020)

Dr. Xia's research is primarily oriented around causal mediation analysis. Her work provides comprehensive guidance for applied statisticians and epidemiologists navigating the philosophical subtleties and abundant methodology in causal inference. She develops methodologies for complex causal mediation structures, including mediation analysis with treatment-induced confounding, mediation analysis with multiple mediation pathways, and mediation analysis for longitudinal data, using rigorous statistical theories for semiparametric inference. Additionally, her research involves causal discovery and cluster randomized trials with stepped wedge designs, which are related to model-based causal inference with longitudinal data.

Dr. Xia has demonstrated a steady publication record with increasing productivity since completing her PhD. Her publications span from 2017 to 2025, with a notable increase in output from 2021 onward. Her work appears in top statistical journals like Biometrika, Journal of the American Statistical Association, and Biometrics, as well as medical journals including JAMA Network Open and Clinical Infectious Diseases. The publications reflect her dual focus on methodological advancements in statistics and applications to important health issues, particularly in HIV research, clinical trials methodology, and chronic disease epidemiology.

• No specific awards mentioned in the provided information

Dr. Xia appears to be actively involved in collaborative research across multiple domains. Her publications indicate collaborations with researchers in epidemiology, medicine, and public health. While specific grant information is not provided, her research on stepped wedge cluster randomized trials suggests involvement in methodological grant-funded research. She has served as a co-investigator on studies related to HIV, hypertension, tobacco use, and chronic kidney disease, demonstrating the breadth of her research impact.

Dr. Xia appears to be part of the broader biostatistics and epidemiology research community at UCSF. Her publications indicate collaborations with researchers across different departments and institutions. While specific lab information is not provided, her work on stepped wedge designs suggests she may be part of or collaborate with teams focused on clinical trial methodology. Her research on HIV and women's health also suggests connections with relevant research groups at UCSF, contributing to the university's mission of advancing health worldwide.