Fernando Alarid-Escudero is an Assistant Professor of Health Policy at Stanford University School of Medicine. 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 develop novel methods to quantify the value of future research. Dr. Alarid-Escudero is a member of three cancers (colorectal, bladder, and gastric) of the Cancer Intervention and Surveillance Modeling Network (CISNET) consortium. This group of investigators is sponsored by the National Cancer Institute in the U.S. and uses simulation modeling to evaluate the impact of cancer control interventions on population trends in incidence and mortality.
Dr. Alarid-Escudero co-founded the Stanford-CIDE Coronavirus Simulation Modeling workgroup, the Decision Analysis in R for Technologies in Health workgroup, and the Collaborative Network on Value of Information. These international and multi-institutional collaborative efforts develop transparent and open-source solutions to implement decision analysis and quantify the value of potential future investigation for health policy analysis.