Stanford University
Showing 541-550 of 652 Results
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Anna H Grummon
Assistant Professor of Pediatrics (General Pediatrics) and, by courtesy, of Health Policy
BioDr. Grummon is an Assistant Professor of Pediatrics and (by courtesy) Health Policy and the Director of the Stanford Food Policy Lab. Dr. Grummon is a behavioral scientist whose work seeks to identify and evaluate policies that encourage healthy eating and help children and their families live long, healthy lives. In her work, Dr. Grummon uses randomized trials, natural experiments, and simulation modeling to examine how food policies like warning labels, beverage taxes, and food assistance programs affect what we eat and how healthy we are. She also studies strategies for encouraging people to choose foods that are more environmentally sustainable. Dr. Grummon's program of research has been funded by the National Institutes of Health, the Robert Wood Johnson Foundation, the New York City Department of Health and Mental Hygiene, and others. Her work has been published in leading medical and public health journals including JAMA, New England Journal of Medicine, Science, and the American Journal of Public Health and received coverage in news outlets such as the Washington Post, NBC, NPR, and Forbes.
Dr. Grummon holds a PhD and MSPH in Health Behavior from the University of North Carolina Gillings School of Global Public Health and a BA with Honors in Human Biology from Stanford. She completed her postdoctoral training at Harvard. -
Jiaqi Gu
Postdoctoral Scholar, Neurology and Neurological Sciences
BioI am a postdoctoral scholar in Department of Neurology & Neurological Sciences, Stanford University and under supervision of Dr. Zihuai He. Before that, I obtained my PhD degree in statistics under supervision of Prof. Philip L.H. Yu and Prof. Guosheng Yin in University of Hong Kong and my bachelor degrees in statistics from Renmin University of China.
My researches concentrate on preference learning, network data modeling, quantitative analysis of survival and public health data, high-dimensional statistical inference with geometric information and statistical genetics.
