School of Medicine


Showing 1-18 of 18 Results

  • Nathaniel Breg

    Nathaniel Breg

    Postdoctoral Scholar, Health Policy

    BioNate Breg is a postdoctoral fellow at Stanford University's Department of Health Policy and at the Palo Alto Veterans Health Administration. He earned his PhD at Carnegie Mellon University and his BA at Tufts University.

    His interest in health care providers intersects with questions from labor economics and industrial organization. Nate's current research investigates how providers respond to incentives, how they decide to adopt new technology, and how health care services affect local economies and local health. He is a 2020-2021 recipient of the Fellowship in Digital Health from CMU's Center for Machine Learning and Health.

    He previously worked at RTI International on evaluations of government health care initiatives, prospective payment systems, and health care delivery quality measures, employing econometrics and other quantitative methods. His clients included the U.S. Centers for Medicare and Medicaid Services (CMS), the Centers for Disease Control and Prevention (CDC), and the U.S. Health and Human Services Department’s Assistant Secretary for Planning and Evaluation (ASPE).

    Research interests: health economics, labor economics, industrial organization, public economics, productivity, reimbursement and regulation, imperfect competition, organizational economics

  • Josefina Flores Morales

    Josefina Flores Morales

    Postdoctoral Scholar, Epidemiology

    BioJosefina (she/her/ella) is a Propel Postdoctoral Scholar in the Department of Epidemiology and Population Health in the School of Medicine with Dr. Mathew Kiang’s lab. Her research is about health and socioeconomic inequities across the life course. She is interested in diverging outcomes across race/ethnicity and documentation status. Josefina earned her B.A. in psychology with a public health minor from the University of California, Los Angeles (UCLA). She pursued her doctoral education in sociology at UCLA as well. Her doctoral studies were supported by the Health Policy Research Scholars program, a program by the Robert Wood Johnson Foundation.

  • Cellas Ari'ka Hayes

    Cellas Ari'ka Hayes

    Postdoctoral Scholar, Epidemiology

    BioCellas is currently a postdoctoral fellow/Propel scholar at Stanford University in the Department of Neurology and Neurological Sciences in a laboratory utilizing longitudinal data analysis and neuroimaging modalities to understand the aging brain, neuropathology, cognition, and Alzheimer’s Disease. Postdoctoral experience includes using R, Linux, and Python to perform data preprocessing, multivariate statistical analysis, and applying novel models for longitudinal continuous outcomes. Cellas received his Bachelor’s in Biology (2015-2019) and Doctor of Philosophy in Pharmaceutical Sciences with an emphasis in Pharmacology (2019-2022) from the University of Mississippi. As a doctoral candidate, his research focused on using both in vitro and in vivo approaches to further elucidate how neuroendocrine modulation specifically insulin-like growth factor-1 alters learning and memory performance along with ischemic stroke outcomes. Skills gained during doctoral training included in vitro cell culture, pharmacological experimental design of both in vitro and in vivo studies, development of transgenic mouse models, a wide array of rodent behavioral paradigms, stereotaxic surgery, photothrombosis, and numerous ex vivo cellular, molecular, and microscopy techniques.
    My primary interests lie at the intersection of aging, neurodegenerative disease, and using longitudinal epidemiological data sets to investigate hypotheses. All around neuroscientist seeking sci-comm, industry, and academic opportunities to strengthen skills to become an independent investigator.

  • Tracy Lam-Hine

    Tracy Lam-Hine

    Postdoctoral Scholar, Epidemiology

    BioTracy Lam-Hine (he/him), DrPH, MBA, is a postdoctoral research fellow mentored by Dr. David Rehkopf in the Stanford Medicine Department of Epidemiology and Population Health and the Stanford Center for Population Health Sciences. His research focuses on improving the measurement of structural racism in epidemiologic studies, the cardiopulmonary and mental health of Multiracial people in the United States, and the application of methods in social epidemiology to racial health inequities. Dr. Lam-Hine also collaborates with state and local health jurisdictions in California and Hawaii in applied epidemiology and surveillance projects on topics including structural racism, adolescent health, and COVID-19.

  • 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.