Jorge Roa is a software developer and data scientist in the Department of Health Policy at Stanford University. 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.
