Ganapati Srinivasa

Biography
Ganapati Srinivasa has experience working in key areas of computing architecture, automation, big data and AI. Before starting Omics Data Automation in 2016, Srinivasa was the chief architect of several generations of multi-core Xeon processors (2001 – 2013) starting with the first multicore server which resulted in more than 92% server market share for Intel. Since 2014, he is focused on Genomics and Precision Medicine driven by “Big Data” collaborating with Academic Medical Centers and Broad Institute of MIT and Harvard. While at Intel, he conceived and led the “Collaborative Cancer Cloud (CCC)” initiative with OHSU (Oregon Health & Science University), Dana Farber Cancer Institute, Boston, OCIR (Ontario Institute for Cancer Research) in Toronto and Intel.

AI and Data Science Showcase:
Omics Data Automation
Omics Data Automation software breaks data silos and integrates and analyzes all patient data to enable clinicians to create precision medicine regimes efficiently. The ODA Framework allows users to harness the value in their medical data to power federated machine learning and causal AI.

Enabling Collaboration on Complex Diseases Using the ODA Framework
We will describe and demonstrate innovative and scalable collaboration use cases that leverage the ODA Framework scalable storage, compute and interface layers and its federation capabilities in both clinical and research settings.