Lei Yan

Lei Yan is an Associate Research Scientist in Biostatistics at the Yale School of Public Health, collaborating with the Clinical Epidemiology Research Center at VA Connecticut Healthcare System. His work applies causal inference methods to comparative effectiveness research in infectious diseases, HIV/AIDS, and gene-environment interactions.

• Education:
  • PhD in Applied Economics, University of Illinois at Urbana-Champaign (2017)
  • Postdoctoral Research Associate, University of Illinois at Urbana-Champaign (2018)
  • MA in Economics, Renmin University of China (2011)
  • BS in Statistics, Renmin University of China (2008)

Research Focus: Lei Yan's work integrates biostatistics and epidemiology to analyze large electronic health records, addressing critical questions in COVID-19, RSV vaccines, and antidepressants for major depression. His methods emphasize target trial emulation for causal inference in observational data.

Publications Trends: Lei Yan's 15 most recent articles (2023–2025) focus on vaccine efficacy, antiviral therapies, and health equity in veterans' populations. Key subfields include survival analysis, machine learning, and policy modeling.

• Collaborations:
  • VA Connecticut Healthcare System (West Haven)
  • Yale's Public Health Data Science initiative
  • Interdisciplinary teams in health policy and clinical epidemiology

Contact: Email lei.yan@yale.edu or visit his office at 300 George Street, Rm 509, New Haven, CT 06511.