School of Medicine
Showing 1-10 of 12 Results
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Rebecca M. Gardner
Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2022
BioI’m a second-year PhD student in Epidemiology & Clinical Research with an emphasis on maternal health and well-being during the postpartum period and over the life course. My current research is focused on antepartum and postpartum depression prevalence trends, the policy impact of insurance expansion on postpartum healthcare utilization, the ‘Hispanic Paradox’ in the context of maternal health outcomes, and the effect of social support on reducing postpartum mental health morbidity. Ultimately, I would like to design and implement multimodal interventions to reduce postpartum depression morbidity, thereby promoting the well-being of mothers, children, and families. I am also interested in studying the connection between adverse pregnancy outcomes and long-term outcomes such as diabetes and cardiovascular disease.
Before starting a PhD, I was a biostatistician in the Quantitative Sciences Unit at Stanford for four years where I co-authored over thirty publications, collaborating with clinicians on various domains including developmental behavioral pediatrics, reproductive endocrinology & infertility, oncology, and clinical trials. I completed my MS in Statistics at Brigham Young University in 2016, where I collaborated with cardiologists to develop a new approach to diagnose rheumatic heart disease in pediatric patients in Samoa for my Master's thesis.
In my free time, I moderate a book club, work on my Spanish, and spend time with my husband and our two young children. -
Pascal Geldsetzer
Assistant Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioPascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Department of Biomedical Data Science, Department of Health Policy, King Center for Global Development, and the Stanford Centers for Population Health Sciences, Innovation in Global Health, and Artificial Intelligence in Medicine & Imaging.
His research focuses on identifying and evaluating the most effective interventions for improving health at older ages. In addition to leading several randomized trials, his methodological emphasis lies on the use of quasi-experimental approaches to ascertain causal effects in large observational datasets, particularly in electronic health record data. He has won an NIH New Innovator Award (in 2022), a Chan Zuckerberg Biohub investigatorship (in 2022), and two NIH R01 grants as Principal Investigator (both in 2023). -
Paul-Andre Genest
Adjunct Professor, Epidemiology and Population Health
BioDr. Paul-André Genest is an Assistant Director and Publisher at the American Chemical Society where he is responsible for the management of roughly a third of the ACS journals portfolio and Editorial Development team. Since 2016, he is an Adjunct Professor at Stanford University where he co-teaches a yearly course on scholarly communication (BIOS 292: Preparation and Practice: Scientific Communication & Media). Previously, he worked as a Publisher and Senior Editor at Wiley and as an Associate Publisher and Scientific Editor at Elsevier. Dr. Genest has a BSc (Biology) degree and a MSc (Microbiology-Immunology) degree from the Université Laval in Québec City, Canada, and a PhD (Molecular Parasitology) from the University of Amsterdam, The Netherlands. He held two postdoc research positions at the Netherlands Cancer Institute in Amsterdam, The Netherlands before transitioning to the scholarly publishing industry.
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Nicole Gladish
Research Fellow, Epidemiology and Population Health
BioDr. Gladish received her PhD in Medical Genetics from the University of British Columbia investigating how early life adversity impacted DNA methylation changes over the life course. At Stanford she is a postdoctoral fellow researching social adversity and impacts on health disparities combining epigenetic, genetic and epidemiological data to obtain a better understanding of how negative health outcomes develop and improve ways to identify vulnerable populations for more effective interventions.
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Steven Goodman
Professor of Epidemiology and Population Health, of Medicine (Primary Care and Population Health) and, by courtesy, of Health Policy
Current Research and Scholarly InterestsI am interested in issues relating to the representation and measurement of evidence in medical research, and determinants of the truth of medical findings, using a Bayesian framework. I also do work in evidence synthesis, comparative effectiveness research, and the ethics of clinical research.