Ravi Madduri is actively involved in developing innovative software in the intersection of HPC/AI and biomedicine. His research interests are in building sustainable, scalable services for science, reproducible research, large-scale data management, analysis using HPC and AI. He leads the PALISADE-X project that is developing Privacy-preserving Federated Learning framework to build robust, trust-worthy AI models. He co-leads the MVP-CHAMPION project, which is a collaboration between VA and DOE and develops methods to perform large-scale genetic data analysis using DOE’s high performance computing capabilities, including methods for generating PRS scores in Prostate Cancer, genome-wide PheWAS on Summit supercomputer. Additionally, Ravi was one of three key contributors to the National Institutes of Health $100M Cancer Biomedical Informatics Grid (caBIG), which linked 60 NIH-funded cancer centers and clinical sites engaged in cancer research. For his efforts in project management, tool development, and collaboration, Ravi received several Outstanding Achievement Awards from NIH. For his work on ​“Cancer Moonshot” project, he received the Department of Energy Secretary award in 2017.

Research Interests

• AI and HPC