School of Medicine


Showing 11-18 of 18 Results

  • Alexis Reeves

    Alexis Reeves

    Postdoctoral Scholar, Epidemiology

    BioAlexis is a Propel postdoctoral scholar in the Department of Epidemiology and Population Health in the School of Medicine with Dr. Michelle Odden’s lab. Her research is broadly focused on the causes and consequences of racial disparities in accelerated aging. She is particularly interested in the interplay of structural and interpersonal racism, and the psychobiological mechanisms in which they produce early health declines in minoritized populations. Her work to date has focused on the health of Black women as they enter into life-stages, such as the midlife menopausal transition, where cardio-metabolic risk is high. Alexis also has a strong interest in causal inference, and applies causal inference theory and methods to these areas of research to mitigate and quantify bias.

  • Benjamin Seiler

    Benjamin Seiler

    Postdoctoral Scholar, Epidemiology

    BioBen Seiler is a postdoctoral research fellow in the department of Epidemiology and Population Health at the Stanford School of Medicine, with Mike Baiocchi. He specializes in developing and deploying interpretable statistical learning methods. As part of the Stanford Human Trafficking Data Lab (HTDL), Ben currently works on quantitative approaches to issues of labor trafficking and child labor in Brazil in partnership with their Federal Labor Prosecution Office. As part of the Stanford Regulation, Evaluation, and Governance Lab (RegLab), Ben currently works in partnership with the US Internal Revenue Service to study the use of AI to modernize the system for tax collection. He holds a PhD in Statistics from Stanford University, where he was advised by Art B. Owen. Before Stanford, he earned a BA magna cum laude in physics, economics, and mathematics from Williams College. After completing his BA, he worked as a foreign exchange derivatives trader at Goldman Sachs from 2013 to 2018.

  • Britni Wilcher

    Britni Wilcher

    Postdoctoral Scholar, Health Policy

    BioBritni Wilcher, PhD, is a Postdoctoral Fellow in Health Services Research & Development. Dr. Wilcher earned her PhD in economics from American University in 2022. She is an applied microeconomist with interests in health, labor, and gender economics. Dr. Wilcher’s research focuses on the economics of health decision making and its implications for labor markets using quasi-experimental designs to draw causal inferences for historically disadvantaged populations. While completing her doctoral studies, Dr. Wilcher also conducted impact analysis of US regulations for think tanks and government agencies.

    Prior to her doctoral studies, Dr. Wilcher completed a BA in Economics at Spelman College and MSc in International Health Care Management, Economics, and Policy at SDA Bocconi School of Management in Milan, Italy. During her masters, she specialized in the economics evaluation of pharmaceutical and medical devices. Dr. Wilcher applied that training as a senior consultant at Booz Allen Hamilton in Washington, DC and research fellow at the University of Exeter in England. Her work at Exeter, supporting an EU commission aimed at advancing the existing methodological framework for health technology assessment (HTA) of medical devices (MedtecHTA), was published in Value in Health, Health Economics, and the International Journal of Technology Assessment in Health Care.

  • Ziping Ye

    Ziping Ye

    Postdoctoral Scholar, Health Policy

    BioZiping Ye is a postdoctoral researcher at the Prevention Policy Modeling Lab in the Department of Health Policy at Stanford. Her research focuses on the development of decision making models for disease prevention programs.
    Previously, Dr Ye served as an assistant professor at the School of Public Administration at Hainan University, where she conducted research on cost-effectiveness thresholds, health outcomes studies, and health burden surveys. Dr Ye received her Ph.D. in Pharmacy Administration from Shenyang Pharmaceutical University with a specialization in Pharmacoeconomics. She is also a self-taught R programmer.