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.

Dr. Ashley Griffin is a medical informatics postdoctoral research fellow in the Department of Health Policy and VA Palo Alto Health Care System Center for Innovation to Implementation. She completed her PhD in Health Informatics from the University of North Carolina at Chapel Hill in 2021. Dr. Griffin's research focuses on the use and interoperability of digital health technologies and patient-generated health data to support patients with multimorbidities. Her research develops methods and tools that can empower patients to take an active role in their health and inform decision-making for the care team.

Fernando Alarid-Escudero, Ph.D., is an Assistant Professor of Health Policy at Stanford University School of Medicine. He obtained his Ph.D. in Health Decision Sciences from the University of Minnesota School of Public Health, and was an Assistant Professor at the Center for Research and Teaching in Economics (CIDE) Región Centro, Aguascalientes, Mexico, from 2018 to 2022, prior to coming to Stanford. His research focuses on developing statistical and decision-analytic models to identify optimal prevention, control, and treatment policies to address a wide range of public health problems and develops novel methods to quantify the value of future research. Dr. Alarid-Escudero is part of the Cancer Intervention and Surveillance Modeling Network (CISNET), a consortium of NCI-sponsored investigators that includes modeling to improve our understanding of the impact of cancer control interventions (e.g., prevention, screening, and treatment) on population trends in incidence and mortality. Dr. Alarid-Escudero co-founded the Stanford-CIDE Coronavirus Simulation Modeling (SC-COSMO) workgroup. He also co-founded the Decision Analysis in R for Technologies in Health (DARTH) workgroup and the Collaborative Network on Value of Information (ConVOI), international and multi-institutional collaborative efforts where we develop transparent and open-source solutions to implement decision analysis and quantify the value of potential future investigation for health policy analysis. He received a BSc in Biomedical Engineering from the Metropolitan Autonomous University in Iztapalapa (UAM-I), and a Master’s in Economics from CIDE, both in Mexico.