School of Medicine
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Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
Bio Anneke Claypool is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
RESEARCH AREA: Health Policy
Anneke Claypool's research is focused on developing models to evaluate health policy impacts and costs. Her current research includes analyzing the cost-effectiveness of chikungunya virus prevention with a dynamic transmission model and using mathematical modeling to analyze racial disparities in breast cancer incidence in the US. She is particularly interested in infectious disease and improvement in policies for communities with limited access to healthcare.
Communications Manager, Medicine - Med/PCOR
Current Role at Stanford Communications Manager for the Center for Health Policy and Center for Primary Care and Outcomes Research at Stanford University.
Adjunct Professor, Medicine - Med/PCOR
Bio Bob Kocher, MD is a Partner at Venrock and focuses on healthcare IT investments. He is also an Adjunct Professor of Medicine at Stanford University School of Medicine. He currently serves on the Boards of Devoted Health, Virta, Jiff, Aledade, and Lyra Health, where he is also a co-founder, and is a Board Observer at Grand Rounds, Stride, Renew and Doctor on Demand. He is a former Director at Castlight Health (CSLT).
Prior to Venrock and Stanford, Bob served in the Obama Administration as Special Assistant to the President for Healthcare and Economic Policy on the National Economic Council.
Bob received undergraduate degrees from the University of Washington and a medical degree from George Washington University. He completed a research fellowship with the Howard Hughes Medical Institute and the National Institutes of Health, and went on to complete his internal medicine residency training at the Beth Israel Deaconess Medical Center and the Harvard Medical School.
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
Bio Research Area: Health Policy
I develop computational models to improve decision-making in healthcare. Specifically, I utilize complex networks, machine learning, data analytics, and economic modeling in my methodology. Applications include emerging, zoonotic, neglected, and sexually transmitted communicable infectious diseases that pose a risk as a result of naturally occurring emergence or biological attack.