Jorge Roa

Jorge Roa is a data scientist and a software developer in the Department of Health Policy at Stanford University. Prior to coming to Stanford, Jorge did a research fellowship in the Department of Statistics at the University of Munich. He holds a M.Sc. in Data Science for Public Policy from the Hertie School in Berlin, Germany. Jorge earned a B.A. in Public Policy from the Center for Research and Teaching in Economics (CIDE) in Aguascalientes, Mexico. His work has been focused on gastric and colorectal cancer research, helping apply Bayesian methods and decision-analytic models and creating and optimizing algorithms. He also has experience developing and implementing open-source R packages. Jorge is part of the colorectal cancer group in the Cancer Intervention and Surveillance Modeling Network (CISNET). His research focuses on employing data science tools and decision-analytics models to make informed decisions based on data and evidence to improve people’s lives.