Leshner Fellow Lyle Ungar Uses Twitter to Predict Our Physical and Mental Health
American Association for the Advancement of Science
August 26, 2020
April 08, 2026
An in-depth AAAS member spotlight on Ungar’s career — from heart disease prediction via Twitter to real-time COVID symptom tracking that surfaced signals “before it showed up in the New York Times.” He discusses goals of helping public health officials craft better interventions and using language analysis to predict addiction relapse risk. Featured: Lyle Ungar.