Anu Ramachandran is a Medical Informatics Fellow affiliated with the VA's Center for Innovation to Implementation. She completed her medical degree at Johns Hopkins University and pursued a Masters degree in Public Health at the London School of Hygiene and Tropical Medicine as a Marshall Scholar. She recently completed her residency in Emergency Medicine at UC San Francisco/SF General Hospital. Her prior research has focused on the health needs of populations affected by humanitarian crisis. Broadly, she is interested in the intersection of informatics methodologies and health policy, with a focus on crisis preparedness and protecting medically vulnerable populations. She also hopes to use these tools to improve health system design and optimize the resiliency and equity of healthcare delivery in low-resource settings.

Robert Gallo is a medical informatics research fellow in the Department of Health Policy and the VA Palo Alto Health Care System’s Center for Innovation to Implementation. He obtained his medical degree at Washington University School of Medicine, and subsequently completed his residency training in Internal Medicine at Stanford. Dr. Gallo’s research focuses on inpatient health services delivery, particularly for diabetes and cardiovascular disease. He also has interest in the evaluation and implementation of prediction models.

Duncan is a Postdoctoral Fellow in Health Services Research and Development, with the VA Center for Innovation to Implementation (Ci2i) and the Stanford Department of Health Policy. Duncan uses methods from computer science and operations research for resource allocation and decision making in applied settings. To ensure that these systems meet appropriate standards of quality and safety, he is also developing processes for governing and monitoring deployed algorithms in healthcare settings. Duncan’s past projects have focused on blood donor recruitment (with Facebook), kidney exchange (with UNOS), and financial services (with FinRegLab). He holds a PhD in Applied Mathematics (AMSC) from the University of Maryland, College Park.

Teresa Puente is the Program Manager for the Prevention Policy Modeling Lab, which conducts health and economic modeling to improve public health decision-making and inform U.S. health policy. Teresa coordinates with the Centers for Disease Control and Prevention (CDC) and academic partners, overseeing operations and management for over 30 modeling projects.
 
Prior to joining Stanford, Teresa worked in health policy and communications at the CDC, supporting efforts to communicate the agency’s work in global infectious disease, outbreak response, and immunization. She received her master’s degree in public health from Emory University’s Rollins School of Public Health, with a focus on socio-contextual determinants of health.

Nathaniel Breg is a postdoctoral fellow at the Veterans Health Administration of Palo Alto in its Big Data Scientist Training Enhancement Program (BD-STEP) and a postdoctoral scholar in the Department of Health Policy at Stanford. His research into health care provision intersects with questions in labor economics and industrial organization. His current work focuses on provider use of new medical technologies, and he is more broadly interested in provider incentives, medical labor markets, and the effects of the health care industry on local economies and local health. He has a PhD from Carnegie Mellon University in public policy and management with an applied economics concentration and a BA from Tufts University in economics and history. Before his graduate studies, he worked as an analyst at RTI International on health policy evaluation and implementation for the Centers for Medicare and Medicaid Services.

Britni Wilcher, PhD, is a Postdoctoral Fellow in Health Services Research & Development. Dr. Wilcher earned her PhD in economics from American University in 2022. She is an applied microeconomist with interests in health, labor, and gender economics. Dr. Wilcher’s research focuses on the economics of health decision making and its implications for labor markets using quasi-experimental designs to draw causal inferences for historically disadvantaged populations. While completing her doctoral studies, Dr. Wilcher also conducted impact analysis of US regulations for think tanks and government agencies.
 
Prior to her doctoral studies, Dr. Wilcher completed a BA in Economics at Spelman College and MSc in International Health Care Management, Economics, and Policy at SDA Bocconi School of Management in Milan, Italy. During her masters, she specialized in the economics evaluation of pharmaceutical and medical devices. Dr. Wilcher applied that training as a senior consultant at Booz Allen Hamilton in Washington, DC and research fellow at the University of Exeter in England. Her work at Exeter, supporting an EU commission aimed at advancing the existing methodological framework for health technology assessment (HTA) of medical devices (MedtecHTA), was published in Value in Health, Health Economics, and the International Journal of Technology Assessment in Health Care.