Joining Forces of Data Science and the Exposome

Part 5 of the HHEAR Exposomics Webinar Series

Description: Exposomics datasets can be very large and originate from heterogeneous sources. Gaining meaningful insights from datasets can be streamlined by data science methods. These methods, including machine learning and artificial intelligence models, can help to discover relationships among phenotypes, biological responses and exposures.

Dr. Chirag Patel
Associate Professor of Biomedical Informatics, Harvard Medical School

Dr. Arcot Rajasekar
Professor, UNC School of Information and Library Science
Chief Scientist, Renaissance Computing Institute (RENCI)

Christopher Duncan
Health Scientist Administrator
National Institute of Environmental Health Sciences (NIEHS)

September 16, 2022
1:00 PM – 2:00 PM EDT