RWJF Health & Society Scholar:
Area(s) of Expertise:
Income and Health, Cardiovascular Disease, Childhood Obesity, Data Mining Methods for Health Research
David Rehkopf is a social epidemiologist. The aim of his research is to understand the relative importance of multiple hypothesized mechanisms and processes linking income and work with chronic disease. In order to achieve this, his scholarship has taken the following approaches: 1) examination of exogenous income and work changes, 2) examination of longitudinal, multigenerational, high-density data on income and work, and 3) examination of underlying biological pathways. In each of these areas of research his approaches acknowledge that 1) errors in inference can result when not examining non-linearities in the dependence between exposures and outcomes, 2) when examining income and work multiple health outcomes and biomarkers should be considered simultaneously in order to account for unintended consequences and alternative pathways to health outcomes, 3) examination of variance can be as important as examination of mean, and 4) an adequate accounting of impacts of income and work involves an assessment of variation of impacts within population subgroups. He received an MPH in Epidemiology/Biostatistics from UC Berkeley (2001), and a doctorate from the department of Society, Human Development and Health at the Harvard School of Public Health (2006). He was a Cohort 4 Robert Wood Johnson Foundation Health & Society Scholar at UCSF/B (2006-2008). He is currently an Assistant Professor of Medicine at Stanford University.