Bio
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. His research focuses on developing statistical and decision-analytic models to identify optimal prevention, control, and treatment policies and conducting cost-effectiveness analyses to address a wide range of public health problems. He has also developed novel methods to quantify the value of future research. Dr. Alarid-Escudero is a member of three cancers (colorectal [CRC], bladder, and gastric) of the Cancer Intervention and Surveillance Modeling Network (CISNET) consortium, a group of investigators sponsored by the National Cancer Institute in the U.S. that uses simulation modeling to evaluate 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 Decision Analysis in R for Technologies in Health (DARTH) workgroup (http://darthworkgroup.com) and the Collaborative Network on Value of Information (ConVOI; https://www.convoi-group.org), international and multi-institutional collaborative efforts that 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.
