School of Medicine
Showing 1-10 of 10 Results
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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.
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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.
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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.
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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, while still effective, statistical learning methods. As part of the Stanford Human Trafficking Data Lab, Ben currently works on quantitative approaches to issues of labor trafficking and child labor in Brazil. 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.