Fernando Alarid-Escudero, PhD Φαε
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Fernando Alarid-Escudero, PhD

Curriculum Vitae Stanford Website Mail ResearchGate ORCID Google Scholar PubMed GitHub LinkedIn Twitter

 

Fernando Alarid-Escudero is an Assistant Professor in the Department of Health Policy at Stanford University School of Medicine, and the head of the Project of Decision Analysis in Uncertain Contexts (PADeCI). He obtained his Ph.D. in Health Decision Sciences from the University of Minnesota School of Public Health.

 

Current research

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 regionally, nationally, and internationally, 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.


 

Co-founder


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.

 

Media coverage


Dr. Alarid-Escudero’s work has received national and international media attention, with media coverage from:

 

Awards


He has received numerous awards, including the Lee B. Lusted Student prize from the Society for Medical Decision Making (SMDM) in 2014, 2015, and 2016, membership to the Delta Omega Honorary Society in Public Health, Pi Chapter, elected trustee for SMDM, and COVID-19 Decision Modeling Initiative (CDMI) Leader by SMDM. His work has been funded by the National Institutes of Health (NIH) in the U.S., The Open Society Foundations (OSF), the Gordon and Betty Moore Foundation, SMDM, Stanford University, University of Minnesota, and the State of Hidalgo in Mexico.

 

Education


   

University of Minnesota

2017

PhD, Health Services Research, Policy & Administration
University of Minnesota, School of Public Health

Area of Emphasis: Health Decision Sciences

Advisors: Karen M. Kuntz, ScD and Eva Enns, PhD

Thesis: Statistical and mathematical modeling to evaluate the cost-effectiveness of Helicobacter pylori screening and treatment strategies in Mexico in the setting of antibiotic resistance

CIDE

2009

MS, Economics
Center for Research and Teaching in Economics (CIDE)

UAM

2006

BS, Biomedical Engineering
Universidad Autónoma Metropolitana, Iztapalapa (UAM-I)



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