Fernando Alarid-escudero

Assistant Professor at Stanford University School of Medicine

Palo Alto, California, United States
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Summary

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Senior
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Fernando Alarid-Escudero is an assistant professor of Health Policy with a decade of experience applying health decision sciences, health economics, and policy analysis to infectious disease and cancer control. Trained with a PhD in Health Services Research from the University of Minnesota, he has developed and calibrated complex mathematical and Bayesian models for HPV and colorectal cancer policy, and led efficiency and economic evaluations for HIV prevention across multiple countries. Since 2022 he’s based at Stanford Medicine and the Freeman Spogli Institute, bringing a rare mix of rigorous quantitative modeling, policy-facing impact evaluation, and classroom teaching. His work spans academic appointments in Mexico and the U.S., reflecting deep experience translating econometric and decision-analytic methods into real-world health policy recommendations. An underappreciated strength is his fluency in implementing models and GUIs for policy teams, bridging technical development and stakeholder communication.
code11 years of coding experience
job13 years of employment as a software developer
bookBachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at Universidad Autónoma Metropolitana
bookHigh School, High School at Colegio Nuevo Continente
bookUniversity of Minnesota Twin Cities
bookMaster's degree, Economics, Master's degree, Economics at Centro de Investigación y Docencia Económicas, A.C.
languagesEnglish, Spanish
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Github Skills (14)

r9
r-package9
missing-data9
mathematical8
health8
modeling7
statistics7
dam6
testing5
simulation5
demography4
machine-learning4
parametric2
discrete-event-simulation1

Programming languages (3)

RTeXHTML

Github contributions (5)

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Contributions:1 release, 7 pushes, 1 tag in 6 years 6 months
feralaes/cdx2cea

Mar 2021 - Apr 2024

CDX2 biomarker testing and adjuvant therapy for stage II colon cancer: An exploratory cost-effectiveness analysis
Contributions:4 releases, 20 pushes, 4 tags in 3 years 1 month
testing
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