Jorge Roa, MSc

Department of Health Policy
Stanford University School of Medicine

Stanford University Mail ResearchGate ORCID Google Scholar PubMed GitHub LinkedIn

Jorge Roa is a Software Developer Associate and data scientist in the Department of Health Policy at Stanford University School of Medicine. His work has focused on gastric and colorectal cancer research, helping apply Bayesian methods and decision-analytic models, as well as creating and optimizing algorithms. He also has experience in developing and implementing open-source R packages. Jorge is part of the colorectal cancer group within the Cancer Intervention and Surveillance Modeling Network (CISNET). His research centers on employing data science tools and decision-analytic models to make informed decisions based on data and evidence to improve people’s lives.

## Education

• 2022–2024
  Hertie School, Berlin, Germany
  M.Sc. • Data Science for Public Policy
• 2016–2020
  Center for Research and Teaching in Economics (CIDE), Aguascalientes, Mexico
  B.A. • Public Policy

---