Sanjay Joshi
Industry CTO Healthcare, Dell Global CTO Office
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?”
