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Approaches to Integrate Data Science Methods and Skills into Translational Science Training Programs

Track: Career Development

Session Number: 1002
Date: Thu, Apr 20th, 2017
Time: 9:15 AM - 10:15 AM

Description:

There is an increasing focus on the development and application of new methods to extract meaning from the massive and diverse sources of biomedical data. This session will focus on describing current biomedical data science training priority areas and initiatives, as well as approaches to develop data science training programs for translational researchers.
Session Type: Panel Discussion

Discipline: None
Session Description: There is an increasing focus on the development and application of new methods to extract meaning from the massive and diverse sources of biomedical data. This session will focus on describing current biomedical data science training priority areas and initiatives, as well as approaches to develop data science training programs for translational researchers.
Session Type: Panel Discussion

Discipline: None
Session Description: There is an increasing focus on the development and application of new methods to extract meaning from the massive and diverse sources of biomedical data. This session will focus on describing current biomedical data science training priority areas and initiatives, as well as approaches to develop data science training programs for translational researchers.

Speakers

Moderator/Chair
Scott Steele, PhD
Associate Professor, Public Health Sciences
University of Rochester Medical Center
Speaker 1
Erica Rosemond, PhD
National Institutes of Health
Speaker 2
Justin Starren, MD, PhD, FACMI
Dir. Ctr for Data Science and Informatics
Northestern University