Learning from health data in the million genome era

On November 1, 2019 the CMSA will be hosting a conference organized by Seven Bridges Genomics. The workshop will be held in room G10 of the CMSA, located at 20 Garden Street, Cambridge, MA. For a list of lodging options convenient to the Center, please visit our recommended lodgings page.

Projects currently underway around the world are collecting detailed health and genomic data from millions of volunteers. In parallel, numerous healthcare systems have announced commitments to integrate genomic data into the standard of care for select patients. These data have the potential to reveal transformative insights into health and disease. However, to realize this promise, novel approaches are required across the full life cycle of data analysis. This symposium will include discussion of advanced statistical and algorithmic approaches to draw insights from petabyte scale genomic and health data; success stories to date; and a view towards the future of clinical integration of genomics in the learning health system.

Speakers: 

  • Heidi Rehm, Ph.D.
    Chief Genomics Officer, MGH; Professor of Pathology, MGH, BWH & Harvard Medical School; Medical Director, Broad Institute Clinical Research Sequencing Platform.
  • Saiju Pyarajan, Ph.D.
    Director, Centre for Data and Computational Sciences,VABHS, and Department of Medicine, BWH and HMS
  • Tianxi Cai, Sci.D
    John Rock Professor of Population and Translational Data Sciences, Department of Biostatistics, Harvard School of Public Health
  • Susan Redline, M.D., M.P.H
    Farrell Professor of Sleep MedicineHarvard Medical School, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center
  • Avinash Sahu, Ph.D.
    Postdoctoral Research Fellow, Dana Farber Cancer Institute, Harvard School of Public Health
  • Peter J. Park, Ph.D.
    Professor of Biomedical Informatics, Department of Biomedical Informatics, Harvard Medical School
  • David Roberson
    Community Engagement Manager, Seven Bridges

Registration & Schedule

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