Ravi is a computer scientist in the Data Science and Learning division at Argonne National Laboratory and is Senior Scientist at the Center of Research Computing at the University of Chicago. He is an innovation fellow at the Polsky Center of Entrepreneurship at University of Chicago. Ravi led several successful large projects in NSF, NIH and DoE. His research interests are in building sustainable, scalable services for science, reproducible research, large-scale data management and analysis. He is 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. Ravi led the design and implementation of scientific and high-performance workflows under the caGrid toolkit.
Ravi leads the Globus Genomics project (www.globusgenomics.org), which is used by thousands of researchers across the world for genomics, proteomics, and other biomedical computations on Amazon cloud and other platforms. He architected the Globus Galaxies platform that underpins Globus Genomics and several other cloud-based gateways realizing the vision of Science as a Service for creating, maintaining sustainable services for science. Ravi plays an important role in applying large-scale data analysis, deep learning to problems in biology. For his work on “Cancer Moonshot” project, he received the Department of Energy Secretary award in 2017.