Postdoctoral fellows in cancer epidemiology to conduct real-world evidence studies in oncology using causal inference methods to examine efficient surveillance and treatment strategies using an integrated database of electronic health records from multiple healthcare systems.
We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help the Geldsetzer lab expand its work on the link between shingles vaccination and dementia (see: https://www.medrxiv.org/content/10.1101/2023.05.23.23290253v1; and https://www.medrxiv.org/content/10.1101/2023.09.08.23295225v1)
The goal of the Food for Health Equity Lab is to generate evidence of the effectiveness of 'Food as Medicine' programs that can be implemented in diverse healthcare settings to address food insecurity in a way that improves patient outcomes. This work particularly focuses on improving nutrition and reducing chronic diseases within under-resourced communities and communities of color.
The ultimate goal of my research is to decrease health inequities among racial/ethnic minority populations, particularly Latinxs and immigrant communities, through transdisciplinary and community-engaged scholarship. Our research centers on health equity promotion and chronic disease prevention. This work employs principles of community engagement and Community Based Participatory Research and partners with multi-sectoral stakeholders to design and implement research that meets the needs of local communities. Dr.
Our group investigates prenatal and early-life determinants of health and disease. We conduct epidemiological analyses of human cohorts to investigate chemical (e.g. metals, endocrine disruptors, air pollution, climate change) and non-chemical stressors (e.g. adversity, discrimination) and their relationships to human health and development. We use computational and bioinformatics approaches to study epigenetic and DNA methylation biomarkers in humans. Our group also has a special interest in human aging and epigenetic biomarkers of aging.
Maya Mathur is an Assistant Professor at the Stanford University Quantitative Sciences Unit and the Associate Director of the Stanford Center for Open and Reproducible Science. She is a statistician whose methodological research focuses on advancing methods for meta-analysis, replication studies, and sensitivity analysis. She has received early-career and young investigator awards from the Society for Epidemiologic Research, the Society for Research Synthesis Methods, and American Statistical Association.
Our team is committed to finding ways to improve maternal and infant health outcomes and equity by leading research that identifies effective leverage points for change, from upstream 'macro' social and structural factors, to downstream 'micro' clinical factors through a collaborative research approach that integrates epidemiologic approaches with community engagement and systems thinking.
Disparities are prominent in maternal and infant health, so a lot of our work is centered on equity. Focusing on highest-risk groups will improve health for everyone.
I am an infectious diseases physician and epidemiologist OUr lab is well know internationally in two major areas: 1. The role of infections in chronic diseases and 2. Physiologic changes in humans over time, specifically the decrease in human body temperature. 3. Novel surveillance projects, especially serosurveys done through the mail and the use of wastewater to track infections. Right now, projects that could integrate a post-doctoral fellow include: In addition, my research group works on gun violence prevention.
Stanford Solutions Science Lab.
Michelle Odden, PhD, is an Associate Professor in the Department of Epidemiology and Population Health (E&PH) in the Stanford School of Medicine and a Research Scientist in the Geriatric Research, Education, and Clinical Center (GRECC) in the VA Palo Alto Health Care System. Her research aims to improve our understanding of the optimal preventive strategies for chronic disease in older adults, particularly those who have been underrepresented in research including the very old, frail, and racial/ethnic minorities.
