About our Symposium

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. 


Date: Friday, Nov. 1, 2019
Time: 9:00 am - 4:00 pm
Address: Room G10 of CMSA
20 Garden St.
Cambridge, MA 02138

Meet our 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

Schedule of Events

8:45 - 9:15
Registration and Refreshments
9:15 - 9:30
Welcome & Introduction
9:30 - 10:15
Curating the Clinical Genome at a Global Scale

Heidi Rehm, Ph.D.

10:15 - 11:00
Genomics in the era of Mega Cohorts: enabling precision medicine at scale

Saiju Pyarajan, Ph.D.

11:00 - 11:15
Coffee Break


11:15 - 11:45
Scalability and Portability of Approaches to A Learning Healthcare System

Tianxi Cai, Sci.D.

11:45 - 12:00
Polysomnography Data: An exemplar for “big data” opportunities

Susan Redline, M.D., M.P

12:15 - 1:15
1:15 - 1:45
Big data approaches to identify new immunomodulatory agents

Avinash Sahu, Ph.D.

1:45 - 2:15
Mutational Signature Analysis and its Application to the Clinic

Peter J. Park, Ph.D.

2:15 - 2:30
2:30 - 3:30
Cloud ecosystems for scalable biomedical data analysis

David Roberson

3:30 - 5:00
Reception & Q/A