Prof. Stephen Luby studied philosophy and earned a Bachelor of Arts summa cum laude from Creighton University. He then earned his medical degree from the University of Texas Southwestern Medical School at Dallas and completed his residency in internal medicine at the University of Rochester-Strong Memorial Hospital. He studied epidemiology and preventive medicine at the Centers for Disease Control and Prevention.

Prof. Luby's former positions include leading the Epidemiology Unit of the Community Health Sciences Department at the Aga Khan University in Karachi, Pakistan, for five years and working as a Medical Epidemiologist in the Foodborne and Diarrheal Diseases Branch of the U.S. Centers for Disease Control and Prevention (CDC) exploring causes and prevention of diarrheal disease in settings where diarrhea is a leading cause of childhood death.  Immediately prior to joining the Stanford faculty, Prof. Luby served for eight years at the International Centre for Diarrhoeal Diseases Research, Bangladesh (icddr,b), where he directed the Centre for Communicable Diseases. He was also the Country Director for CDC in Bangladesh.

During his over 25 years of public health work in low-income countries, Prof. Luby frequently encountered political and governance difficulties undermining efforts to improve public health. His work within the Center on Democracy, Development, and the Rule of Law (CDDRL) connects him with a community of scholars who provide ideas and approaches to understand and address these critical barriers.

Maria Polyakova, PhD, is Associate Professor of Health Policy at Stanford School of Medicine and Associate Professor (by courtesy) in the Department of Economics at Stanford University, where she is also a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR). She is a Research Associate at the National Bureau of Economic Research (NBER) and serves as an Editor of the Journal of Health Economics. Her research spans many areas of health economics, including health insurance, healthcare labor markets, and individual decision-making in health and healthcare. A unifying thread is evaluating whether markets and government policy effectively serve individuals and families or introduce distortions. Her ongoing work focuses on how families navigate prolonged health shocks. Maria received her BA in Economics & Mathematics and German Studies (with a concentration in History) from Yale University in 2008 and her PhD in Economics from MIT in 2014.

Jeremy Goldhaber-Fiebert, PhD, is a Professor of Health Policy, a Core Faculty Member at the Center for Health Policy and the Department of Health Policy, and a Faculty Affiliate of the Stanford Center on Longevity and Stanford Center for International Development. His research focuses on complex policy decisions surrounding the prevention and management of increasingly common, chronic diseases and the life course impact of exposure to their risk factors. In the context of both developing and developed countries including the US, India, China, and South Africa, he has examined chronic conditions including type 2 diabetes and cardiovascular diseases, human papillomavirus and cervical cancer, tuberculosis, and hepatitis C and on risk factors including smoking, physical activity, obesity, malnutrition, and other diseases themselves. He combines simulation modeling methods and cost-effectiveness analyses with econometric approaches and behavioral economic studies to address these issues. Dr. Goldhaber-Fiebert graduated magna cum laude from Harvard College in 1997, with an A.B. in the History and Literature of America. After working as a software engineer and consultant, he conducted a year-long public health research program in Costa Rica with his wife in 2001. Winner of the Lee B. Lusted Prize for Outstanding Student Research from the Society for Medical Decision Making in 2006 and in 2008, he completed his PhD in Health Policy concentrating in Decision Science at Harvard University in 2008. He was elected as a Trustee of the Society for Medical Decision Making in 2011.

Past and current research topics:

1. Type 2 diabetes and cardiovascular risk factors: Randomized and observational studies in Costa Rica examining the impact of community-based lifestyle interventions and the relationship of gender, risk factors, and care utilization.
2. Cervical cancer: Model-based cost-effectiveness analyses and costing methods studies that examine policy issues relating to cervical cancer screening and human papillomavirus vaccination in countries including the United States, Brazil, India, Kenya, Peru, South Africa, Tanzania, and Thailand.
3. Measles, haemophilus influenzae type b, and other childhood infectious diseases: Longitudinal regression analyses of country-level data from middle and upper income countries that examine the link between vaccination, sustained reductions in mortality, and evidence of herd immunity.
4. Patient adherence: Studies in both developing and developed countries of the costs and effectiveness of measures to increase successful adherence. Adherence to cervical cancer screening as well as to disease management programs targeting depression and obesity is examined from both a decision-analytic and a behavioral economics perspective.
5. Simulation modeling methods: Research examining model calibration and validation, the appropriate representation of uncertainty in projected outcomes, the use of models to examine plausible counterfactuals at the biological and epidemiological level, and the reflection of population and spatial heterogeneity.

C. Jason Wang, M.D., Ph.D. is a Professor of Pediatrics and Health Policy and director of the Center for Policy, Outcomes, and Prevention at Stanford University.  He received his B.S. from MIT, M.D. from Harvard, and Ph.D. in policy analysis from RAND.  After completing his pediatric residency training at UCSF, he worked in Greater China with McKinsey and Company, during which time he performed multiple studies in the Asian healthcare market. In 2000, he was recruited to serve as the project manager for the Taskforce on Reforming Taiwan's National Health Insurance System. His fellowship training in health services research included the Robert Wood Johnson Clinical Scholars Program and the National Research Service Award Fellowship at UCLA. Prior to coming to Stanford in 2011, he was an Assistant Professor of Pediatrics and Public Health (2006-2010) and Associate Professor (2010-2011) at Boston University and Boston Medical Center. 

Among his accomplishments, he was selected as the student speaker for Harvard Medical School Commencement (1996).  He received the Overseas Chinese Outstanding Achievement Medal (1996), the Robert Wood Johnson Physician Faculty Scholars Career Development Award (2007), the CIMIT Young Clinician Research Award for Transformative Innovation in Healthcare Research (2010), and the NIH Director’s New Innovator Award (2011). He was recently named a “Viewpoints” editor and a regular contributor for the Journal of the American Medical Association (JAMA).  He served as an external reviewer for the 2011 IOM Report “Child and Adolescent Health and Health Care Quality: Measuring What Matters” and as a reviewer for AHRQ study sections.

Dr. Wang has written two bestselling Chinese books published in Taiwan and co-authored an English book “Analysis of Healthcare Interventions that Change Patient Trajectories”.  His essay, "Time is Ripe for Increased U.S.-China Cooperation in Health," was selected as the first-place American essay in the 2003 A. Doak Barnett Memorial Essay Contest sponsored by the National Committee on United States-China Relations.

Currently he is the principal investigator on a number of quality improvement and quality assessment projects funded by the Robert Wood Johnson Foundation, the National Institutes of Health (USA), Health Resources and Services Administration (HRSA), and the Andrew T. Huang Medical Education Promotion Fund (Taiwan).

Dr. Wang’s research interests include: 1) developing tools for assessing and improving the quality of healthcare; 2) facilitating the use of innovative consumer technology in improving quality of care and health outcomes; 3) studying competency-based medical education curriculum, and 4) improving health systems performance.

Maya Rossin-Slater is an Associate Professor of Health Policy at Stanford University School of Medicine. She is also a Senior Fellow at the Stanford Institute for Economic and Policy Research (SIEPR), a Research Associate at the National Bureau of Economic Research (NBER) and a Research Fellow at the Institute of Labor Economics (IZA). She received her PhD in Economics from Columbia University in 2013, and was an Assistant Professor of Economics at the University of California, Santa Barbara from 2013 to 2017, prior to coming to Stanford. Rossin-Slater’s research includes work in health, public, and labor economics. She focuses on issues in maternal and child well-being, family structure and behavior, and policies targeting disadvantaged populations in the United States and other developed countries.

She received her Ph.D. in Biostatistics from the University of California, Berkeley and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. 

Jeremy Goldhaber-Fiebert, PhD, is a Professor of Health Policy, a Core Faculty Member at the Center for Health Policy and the Department of Health Policy, and a Faculty Affiliate of the Stanford Center on Longevity and Stanford Center for International Development. His research focuses on complex policy decisions surrounding the prevention and management of increasingly common, chronic diseases and the life course impact of exposure to their risk factors. In the context of both developing and developed countries including the US, India, China, and South Africa, he has examined chronic conditions including type 2 diabetes and cardiovascular diseases, human papillomavirus and cervical cancer, tuberculosis, and hepatitis C and on risk factors including smoking, physical activity, obesity, malnutrition, and other diseases themselves. He combines simulation modeling methods and cost-effectiveness analyses with econometric approaches and behavioral economic studies to address these issues. Dr. Goldhaber-Fiebert graduated magna cum laude from Harvard College in 1997, with an A.B. in the History and Literature of America. After working as a software engineer and consultant, he conducted a year-long public health research program in Costa Rica with his wife in 2001. Winner of the Lee B. Lusted Prize for Outstanding Student Research from the Society for Medical Decision Making in 2006 and in 2008, he completed his PhD in Health Policy concentrating in Decision Science at Harvard University in 2008. He was elected as a Trustee of the Society for Medical Decision Making in 2011.

Past and current research topics:

1. Type 2 diabetes and cardiovascular risk factors: Randomized and observational studies in Costa Rica examining the impact of community-based lifestyle interventions and the relationship of gender, risk factors, and care utilization.
2. Cervical cancer: Model-based cost-effectiveness analyses and costing methods studies that examine policy issues relating to cervical cancer screening and human papillomavirus vaccination in countries including the United States, Brazil, India, Kenya, Peru, South Africa, Tanzania, and Thailand.
3. Measles, haemophilus influenzae type b, and other childhood infectious diseases: Longitudinal regression analyses of country-level data from middle and upper income countries that examine the link between vaccination, sustained reductions in mortality, and evidence of herd immunity.
4. Patient adherence: Studies in both developing and developed countries of the costs and effectiveness of measures to increase successful adherence. Adherence to cervical cancer screening as well as to disease management programs targeting depression and obesity is examined from both a decision-analytic and a behavioral economics perspective.
5. Simulation modeling methods: Research examining model calibration and validation, the appropriate representation of uncertainty in projected outcomes, the use of models to examine plausible counterfactuals at the biological and epidemiological level, and the reflection of population and spatial heterogeneity.