معرفی
Fernando Alarid-Escudero, PhD, is an Assistant Professor of Health Policy at Stanford University School of Medicine. He previously served as an Assistant Professor at CIDE Región Centro, Aguascalientes, Mexico (2018–2022). His research focuses on developing statistical and decision-analytic models to inform optimal public health policies for prevention, control, and treatment of diseases, including cancer and infectious diseases. He is a member of the Cancer Intervention and Surveillance Modeling Network (CISNET) and co-founder of the Stanford-CIDE Coronavirus Simulation Modeling (SC-COSMO) workgroup, Decision Analysis in R for Technologies in Health (DARTH), and the Collaborative Network on Value of Information (ConVOI). These initiatives aim to create open-source tools for decision analysis and quantifying the value of future research.
Education:
- PhD in Health Decision Sciences, University of Minnesota School of Public Health
- BSc in Biomedical Engineering, Metropolitan Autonomous University (UAM-I), Mexico
- Master’s in Economics, CIDE, Mexico
Research Interests: Dr. Alarid-Escudero’s work bridges decision science and healthcare policy. He specializes in microsimulation models to assess cancer control interventions, cost-effectiveness analyses of screening and treatment strategies, and quantifying decision uncertainty. His recent studies address issues such as Helicobacter pylori seroprevalence disparities, HIV prevention adherence, and optimizing colorectal cancer screening policies under CMS guidelines. He also explores how household transmission dynamics affect epidemic models and evaluates interventions for incarcerated populations.
Scientific Awards:
- Rosenkranz Prize (2025): Recognizes his work on colorectal cancer and antimicrobial resistance in Mexico.
Advising & Grants: While no formal advisees are listed, his collaborative workgroups like DARTH and ConVOI reflect a commitment to mentoring researchers in decision modeling. His research has been supported by the National Cancer Institute (NCI) through CISNET and other initiatives. He has contributed to policy-relevant studies funded by governmental and institutional grants, including analyses of dementia care interventions and antibiotic prophylaxis guidelines.
Labs & Teams: Active in interdisciplinary groups:
- Stanford Health Policy
- CISNET (NCI-sponsored cancer modeling consortium)
- SC-COSMO (pandemic modeling in Mexico)
- DARTH (open-source decision analysis tools)
- ConVOI (value of information analysis networks)
