Democratizing Health Research Through Privacy-Protecting Synthetic Data

Project Summary

This project aims to enable significantly broader use of health data by creating differentially private synthetic data sets. This project will also contribute to solutions for the focus on the coronavirus pandemic.

This project is supported by the UC Davis Center for Data Science and Artificial Intelligence Research (CeDAR).

Principal Investigators:

Thomas Strohmer (PI; UC Davis)
Nick Anderson (Co-PI; UC Davis)
Sean Peisert (Co-PI; UC Davis and LBNL)

Press regarding this project:

Data Science Researchers Receive Over $1 Million in Grants - Seed funding from UC Davis IMPACT center will go toward high-impact, multidisciplinary research - May 1, 2020

Publications resulting from this project:

none yet

More information is available on other Berkeley Lab R&D projects focusing on cybersecurity in general, as well as specifically on cybersecurity for scientific computing.