Sanjay Joshi

Sanjay Joshi is Industry CTO Healthcare at the Dell Global CTO Office. Based in Seattle, he has spanned the gamut of life-sciences from clinical and biotechnology research to healthcare informatics to medical devices. A "skunkworks" engineer and informaticist, he defines himself as a "non-reductionist" with a "systems view of the world.” His current focus is a systems-level understanding of Healthcare, Genomics, Proteomics, Microbiomics, Imaging and IoT processes, and data infrastructures. Recent experience has included AI platforms, data management and instruments for Electronic Medical Records; Proteomics and Flow Cytometry; FDA and HIPAA verification and validation; Lab Information Management Systems (LIMS); Translational Genomics research and Imaging. Sanjay holds a patent in multi-dimensional flow cytometry analytics. He began his career developing and building X-Ray machines. Sanjay was the recipient of a National Institutes of Health (NIH) Small Business Innovation Research (SBIR) grant and has been a consultant or co-Principal-Investigator on several NIH grants. He is actively involved in non-profit biotech networking and educational organizations in the Seattle area and beyond. Sanjay holds a Master of Biomedical Engineering from the University of New South Wales, Sydney and a Bachelor of Instrumentation Technology from Bangalore University. He completed several medical school and PhD level courses (in Sydney and Seattle). A list of selected recent invited talks and panels: • Next Generation Bioinformatics & Biotech Conf, Oct 2019: Mumbai India, Keynote, “Time Series, Machine Learning and the Microbiome: A summary” • GratiFi Summit, Jul 2019, Seattle WA, Panelist, “AI in Biotechnology.” • 601 Club, Jun 2019, Seattle WA, Moderator, “Artificial Intelligence and the Future of Health.” • Bio2Device & Silicon Vikings, Apr 2019, Palo Alto CA, Panelist, “Digital Health.” • BioIT World West, Mar 2019, San Francisco CA, Chair and Speaker, “Streamed Postcards from the Edge: Medical Device Architectures.” • Data Day Texas, Jan 2019: Austin TX, “Morals from a Type 2 Diabetes dataset analytics journey.” • Global AI Conference, Jan 2019: Santa Clara, CA, “Medical Device Architectures: Machine Learning on Streams” • Next Generation Bioinformatics & Biotech Conf, Oct 2018: Jaipur India, Keynote, “A Machine Learning Operational Analytics Story” • EPPICGlobal conference, Oct 2018, Burlingame CA, “Digital Health Keynote Panel” • AI in Healthcare Summit, Jun 2018: San Francisco CA, Chair and Panelist, “Executive Physician Roundtable” • BioIT World, May 2018, Boston MA, Chair and Speaker, Machine Learning and Data Science track • Medical Imaging in Clinical Research, Feb 2018 San Francisco CA; Speaker “Operational Imaging in Clinical Trials.” • AI in Healthcare Summit, Jan 2018 Boston MA: Keynote Panel and Genomics AI moderator • Kaiser Permanente Machine Learning Day, Dec 2017 Oakland CA: Panelist on AI in Healthcare • Interface Summit, Oct 2017, Vancouver Canada; Speaker “Pain: can AI shine a light on it?” • MinneAnalytics HALICON; Oct 2017, Minneapolis MN; Speaker “Two use-cases and a summary: Diabetes and Communicable Disease.” • mHealth Israel; Sep 2017, Jerusalem, Israel; Speaker “AI in Health: Hope or Hype?”