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The Basu Lab @Stanford

Sanjay Basu, MD, PhD, is an Assistant Professor of Medicine at Stanford University. He is a practicing primary care physician, and directs both the Analytics and Modeling Core of the SPHERE Center (Stanford Precision Health for Economic and Racial Equity) and the Health Disparities research group of Stanford's Center for Population Health Sciences. Dr. Basu's research integrates methods from medicine, epidemiology, computer science, econometrics, and statistics to develop mathematical models that evaluate programs and policies that affect human health. The goal is to use novel methods to reduce the global burden of disease, particularly among low-income populations. He received his undergraduate education at MIT, was a Rhodes Scholar at Oxford, and completed his MD and PhD at Yale before completing his residency in primary care internal medicine at the University of California in San Francisco. He previously worked at Partners in Health and Oxfam, then co-founded the organization Possible Health. His work in the field of public health has contributed to improving access to essential medicines, the development of primary healthcare infrastructure, the prevention and treatment of chronic diseases, and programs to minimize the adverse health impact of financial shocks and other adverse social determinants of health. He currently serves on advisory panels for the Columbia University GRAPH Center, the United Nations, the World Health Organization, the American Heart Association, and the Global Burden of Disease Project.

Emmanuel Drabo, PhD is a National Institutes of Health New Innovator Award postdoctoral fellow in the Basu Lab. He received his PhD in Health Economics at the University of Southern California. His research lies in the intersection of mathematical and epidemic modeling, economics, and health, with a focus on rare and neglected diseases, prevention and treatment of infection, medical innovation, and health care production and cost analysis. Emmanuel received his BA in Economics and Mathematics from Bates College, and his Masters in Policy Analysis from the RAND Graduate School, where he also served as an Assistant Policy Analyst.

Anusha Vable, ScD, is a National Institutes of Health New Innovator Award postdoctoral fellow in the Basu Lab. She received a BA in Chemistry from Grinnell College, an MPH in Epidemiology from the University of Michigan, an ScD in Social Epidemiology from Harvard University, and was a postdoc at Harvard before coming to Stanford. Anusha's work focuses on the Korean War and Vietnam War GI Bills, which provided numerous economic benefits, on socio-economic inequalities in smoking behaviors and markers for depression.

Joseph Rigdon, PhD, is a statistician in the Quantitative Sciences Unit in the Stanford School of Medicine. His research has focused on biostatistics, causal inference, and infectious diseases, specifically statistical method development in the context of interference, or when one individual’s outcomes are affected by not only their own treatment status, but also by the treatment status of their neighbors or individuals in their network. He is interested in applying these methods to broader questions related to food environments and health in the United States. He is currently studying the connection between participation in the Supplemental Nutritional Assistance Program and obesity.

Mandy Murphy Carroll, MPH, RD is a study coordinator for the CHIVES Project, one of Dr. Basu’s current research studies. Mandy received her Bachelor of Science with honors from University of Arizona in nutritional sciences. She completed her dietetic internship with El Departamento de Salud in Puerto Rico to become a Registered Dietitian in 2009. She then moved to the Bay Area and worked for the County of Marin as a bilingual nutritionist between the county’s prenatal clinic and WIC program. This work led her to pursue her Masters in Public Health Nutrition at University of California, Berkeley. Since then, she has worked on several research projects, including Christopher Gardner, PhD’s DIETFITS study with Stanford and the MAMAS study with University of California, San Francisco.

Liz Zanley, RD is a diet assessment research specialist focused on reducing health disparities in the US through public policy research. She received a BS in Dietetics from Michigan State University and is finishing her Master’s degree in Nutrition Science with a focus on Molecular Biology from Wayne State University. Liz has previously worked as a clinical dietitian at the University of Michigan Hospital in Ann Arbor and Bellevue Hospital in New York City.

Lindsay Durand, RD, MPH, is a diet assessment nutritionist working on the CHIVES project. She received her MPH in nutrition from the University of Minnesota - Twin Cities and completed her dietetic internship through Auburn University. Her research interests include promoting health in American Indian populations by expanding access to, and knowledge of healthy and indigenous foods and medicines.

Carrie McKinley is a diet assessment researcher for the CHIVES project, a study focused on maximizing the benefit of nutrition assistance vouchers. She graduated from Texas State University with a BS in Nutrition & Dietetics and a BA in Public Relations. As a longtime volunteer at food banks and soup kitchens in both her home state and the Bay Area, she is passionate about tackling food security issues and educating the public on achieving health and wellness.

Sung Eun Choi is a PhD candidate in Management Sciences and Engineering. She received her bachelor's degree from Carnegie Mellon with honors, and her master's degree in biostatistics at Harvard. Sung previously worked at Massachusetts General Hospital on modeling and evaluating the impact of cancer control interventions, and is now working on novel strategies to assess the health and economic effects of health policy and healthcare decisions under uncertainty. Among her other work, she is currently modeling the impact of the National Salt Reduction Initiative on hypertension and the role of risk-based treatment to reduce race/ethnic disparities in hypertension.

Christopher Weyant is a National Science Foundation Graduate Fellow and PhD candidate in the department of Management Sciences and Engineering at Stanford. Christopher is broadly interested in policy and strategy in the healthcare, biotech, and pharmaceutical sectors. He previously completed a joint BS in Chemical Engineering and MS in Bioengineering at Stanford, graduating with a Terman Award. He is currently engaged in modeling strategies to maintain the nutritional quality of food production in low-income countries facing climate change.

Allison Koenecke is a PhD student at Stanford's Institute for Computational and Mathematical Engineering (ICME). She received her Bachelor's in Mathematics with Computer Science from MIT and previously worked at NERA Economic Consulting, where she specialized in data work with applications to antitrust litigation and mergers. She is interested in empirical analyses with social impact and is currently applying machine learning methods to improve personalized medical treatment.

Steve Yadlowsky is a Stanford University Graduate Fellow and PhD candidate in the Departments of Electrical Engineering and Statistics at Stanford. Steve is interested in machine learning in the healthcare and public health. He previously completed a BS at Stanford, and is currently engaged in modeling strategies to improve prediction models of cardiovascular disease risk for diverse populations.

Dillon Laird is a Stanford University graduate student in computer science at Stanford. He did his undergraduate training at University of Washington where he majored in mathematics and computer science. He is working on applying machine learning to healthcare.

Pranav Rajpurkar is a PhD student in computer science at Stanford. His research focuses on developing machine learning algorithms and applying AI solutions to high-impact problems. He is currently working on strategies to detect heterogeneous treatment effects from randomized controlled trials using machine learning methods.

Chiraag Sumanth is a master’s student in Computer Science, specializing in AI. He is currently working on machine learning methods to identify ways of improving payment formulas for healthcare providers.

Vishnu Shankar is an undergraduate student at Stanford, currently studying mathematical modeling and computer science. His current projects involve research on type 2 diabetes risk, and strategies to identify optimal prevention and treatment approaches under uncertainty.

Manan Shah is a freshman at Stanford University studying computer science and mathematics. His research involves developing and applying machine learning systems to solve complex interdisciplinary problems.

Schro and Dinger are our laboratory mascots. They were educated at the San Francisco SPCA, and advanced to Stanford at the age of 3 months. They specialize in nonlinear strategies for approaching humans, and in the science of large-scale tuna consumption.


Rita Hamad, University of California San Francisco
Jonas Kemp, Google Brain
Ankita Meghani, Johns Hopkins University
Sze-chuan Suen, University of Southern California
Justin White, University of California San Francisco


Frederick Altice, Yale University
Jason Andrews, Stanford University
Mike Baiocchi, Stanford University
Eran Bendavid, Stanford University
Seth Berkowitz, Harvard University
Margaret Brandeau, Stanford University
Jay Bhattacharya, Stanford University
Asaf Bitton, Harvard University
Mark Cullen, Stanford University
James Faghmous, Mt Sinai Medical Center
Christopher Gardner, Stanford University
Maria Glymour, University of California San Francisco
Matthew Harding, Stanford University
Rod Hayward, University of Michigan
Ichiro Kawachi, Harvard University
Marcus Keogh-Brown, London School of Hygiene and Tropical Medicine
Michaela Kiernan, Stanford University
Bruce Landon, Harvard University
Martin McKee, London School of Hygiene and Tropical Medicine
Christopher Millett, Imperial College London
Sepideh Modrek, Stanford University
Russell Phillips, Harvard University
Barry Popkin, University of North Carolina Chapel Hill
David Rehkopf, Stanford University
Hilary Seligman, University of California San Francisco
Bhavani Shankar, University of London
Arjumand Siddiqi, University of Toronto
Richard Smith, London School of Hygiene and Tropical Medicine
Zirui Song, Harvard University
David Stuckler, Oxford University
Jeremy Sussman, University of Michigan
Charles Varner, Stanford University
Sukumar Vellakkal, Public Health Foundation of India
Chris Wimer, Columbia University
John Yudkin, University College London