Based in Seattle, Sanjay’s 25+ year career has spanned the entire gamut of life-sciences and healthcare from clinical and biotechnology research to healthcare informatics to medical devices to informatics. He defines himself as a “non-reductionist” with a “systems view of the world.” His current focus is a systems view of genomics, proteomics and healthcare for infrastructures and informatics. Recent experience has included data management and instruments for Electronic Medical Records; Proteomics and Flow Cytometry; FDA and HIPAA validations; Lab Information Management Systems (LIMS); Translational Genomics and Imaging. 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 consultant or co-Principal-Investigator on several NIH grants. He is actively involved in non-profit networking and educational organizations worldwide.
Time-Series Approaches To Microbiome Clinical Studies: A Machine Learning Review
Understanding mechanism of action and translating microbiome science into commercially viable therapeutics remains the biggest challenge in this emerging field. With that said, pharma and biotech across many different therapeutic indications and modalities are united in this global effort to bring novel microbiome-based therapies and diagnostics into the clinical domain. This session will include some of the most impactful and promising areas of the microbiome field: