School of Medicine
Showing 91-100 of 225 Results
-
Neil Kamdar
Assistant Director of Analytics, Center for Population Health Sciences
Biostatistician 3, Center for Population Health SciencesBioI am a health services researcher and applied methodologist focused on clinical and policy applications in disabilities research, women's health, general surgery, and mental health analyses. My focus has been on leveraging Medicare, private payer claims (Health Care Cost Institute (HCCI), MarketScan, OptumInsight, etc.) and Medicaid to understand cost, utilization, and outcomes. This work has been foundational in the development of large-scale studies on vulnerable populations that have typically been under-served or insufficiently studies in the health services research domain.
I serve as the Assistant Director of Analytics at the Center for Population Health Sciences at Stanford, focused on the development of the American Family Cohort (AFC) data, a primary care registry that provides substantial insights into clinical outcomes, utilization, and a particular focus on COVID-19 and Long COVID outcome analyses. Ancillary work would involve the development of research collaborations throughout Stanford Medicine with the interest in creating scholarship across the many domains of the Center for Population Health Sciences.
In addition to this role at Stanford, I also maintain an appointment at the University of Michigan, Institute for Healthcare Policy and Innovation, where I serve as an analytic lead in the development of administrative claims and electronic medical records analyses leading to publications in general and subject-specific journals.
I have been successful in being funded as a co-investigator with several federal and foundation agencies, including the National Institutes of Health (NIH), Department of Defense (DOD), Agency for Healthcare Research and Quality (AHRQ), Neilsen Foundation focused on traumatic spinal cord injury, among many others. I have also provided foundational analyses in the development of Clinical Quality Initiatives (CQIs), which are state-wide initiatives aimed at improving the health and efficiency of hospitals and institutions, with a focus on maternal and fetal medicine in the State of Michigan. -
Abraar Karan, MD MPH DTM&H
Masters Student in Epidemiology and Clinical Research, admitted Autumn 2022
Fellow in Graduate Medical EducationBioI am an infectious disease fellow and post-doctoral researcher in the Division of Infectious Diseases and Geographic Medicine, the Luby Lab, the Center for Innovation in Global Health, and the Woods Institute for the Environment. I worked on the Covid19 outbreak for the Massachusetts Department of Public Health in 2020, and the Monkeypox outbreak for the Los Angeles County Department of Public Health in 2022-23. I also served on the WHO-commissioned Independent Panel on Pandemic Preparedness and Response's research team investigating early global spread of Covid19, and helped with policy-writing for the Biden-Harris campaign on reducing Covid19 in schools. I am currently the Principal Investigator of the following studies: a cluster-randomized controlled trial investigating whether air filtration and ventilation can reduce spread of Covid19 in low-income homes in the Bay Area (https://clinicaltrials.gov/ct2/show/NCT05777720); piloting a low-cost rural surveillance system for detecting spillover of zoonotic diseases in Western Kenya.
I completed my internal medicine residency at the Brigham and Women's Hospital/Harvard Medical School in the Global Health Equity program, and have been working in global health since 2008. I co-edited the book, "Protecting the Health of the Poor" (December 2015, Bloomsbury Publishing, https://www.bloomsbury.com/us/protecting-the-health-of-the-poor-9781783605521/); and co-founded Longsleeve insect repellent, winner of the 2018 Harvard Business School New Venture Competition and finalist in the 2019 Harvard President's Challenge. Media/press coverage has included NBC, ABC, BBC, PBS, CBS, CNN, MSNBC, Fox News, Washington Post, New York Times, SF Chronicle, Bloomberg, Boston Globe, ProPublica, WSJ, TIME, Politico, CBC News, Democracy Now, NPR, ESPN, The Atlantic, The Hill, Business Insider, Vice, Mother Jones, Vox, Forbes, Slate, STAT News, MTV News, Mother Jones, Science Friday, TMZ.
For a full list of publications, please see "Publications" tab. For full list of press/media interviews, please see "Media" link. -
Ankita Kaulberg
Head of Product, Our Voice Platform, Epidemiology and Population Health
Current Role at StanfordHead of Product, Our Voice Platform
Stanford School of Medicine -
Mathew Kiang
Assistant Professor of Epidemiology and Population Health (Epidemiology)
BioI am an assistant professor in the Department of Epidemiology and Population Health. My research lies at the intersection of computational epidemiology and social epidemiology. Methodologically, my work revolves around combining disparate data sources in epidemiologically meaningful ways. For example, I work with individual-level, non-health data (e.g., GPS, accelerometer, and other sensor data from smartphones), traditional health data (e.g., survey, health systems, or death certificate data), and third-party data (e.g., cellphone providers or ad-tech data). To do this, I use a variety of methods such as joint Bayesian spatial models, traditional epidemiologic models, dynamical models, microsimulation, and demographic analysis. Substantively, my work focuses on socioeconomic and racial/ethnic inequities. For example, recently, my work has examined inequities in COVID-19 vaccine distribution, cause-specific excess mortality, and drug poisonings. I have an NIDA-funded R00 examining equitable ways to improve treatment for opioid use disorder across structurally disadvantaged groups and am Co-I on a NIDA-funded R21 examining ways to use novel data sources (such as social media) to predict surges in opioid-related mortality.
-
Abby C. King
David and Susan Heckerman Professor and Professor of Epidemiology & Population Health and of Medicine (Stanford Prevention Research Center)
Current Research and Scholarly InterestsMy interests include applications of behavioral theory and social ecological approaches to achieve large scale changes impacting chronic disease prevention and control; expanding the reach and translation of evidence-based interventions through state-of-the-art technologies; exploring social and physical environmental influences on health; applying community participatory research perspectives to address health disparities; and policy-level approaches to health promotion/disease prevention.
-
Eric Koenig Gonzalez
Casual - Non-Exempt, Epidemiology and Population Health
BioEric is an undergraduate Computer Science student currently interning at the Epidemiology and Population Health Department.
