Precision Public Health
Voice as a Biomarker of Health
The Bridge2AI Voice team is building an ethically sourced, multi-institutional dataset that links voice recordings with clinical, genomic, imaging, and other health data to advance AI research in screening, diagnosis, and treatment. Using a secure smartphone app and federated learning techniques, the team collects voice data across diverse conditions while protecting participant privacy.
Meet the team behind Bridge2AI Voice, or learn more about the research driving it forward.
Who We Are
Yael Bensoussan
University of South Florida
Olivier Elemento
Co-Principal Investigator, Team Lead
Weill Cornell Medicine
Jean-Christophe Bélisle-Pipon
Ethics Lead
Simon Fraser University
David Dorr
Skills and Workforce Development Lead
Oregon Health and Science University
Satrajit Ghosh
Massachusetts Institute of Technology
Philip Payne
Skills and Workforce Development Lead
Washington University in St. Louis
Maria Powell
Plan for Diverse Perspective Lead
Vanderbilt University Medical Center
Anaïs Rameau
Data Acquisition Lead
Weill Cornell Medicine
Vardit Ravitsky
Ethics Lead
The Hastings Center for Bioethics
Alexandros Sigaras
Tools & Development & Optimization Lead
Weill Cornell Medical College
Data Collection Leads
Stephanie Watts
University of South Florida
Ruth Bahr
Voice Disorder Cohort Lead
University of South Florida
Jordan Lerner Ellis
Genomic Cohort Lead
University of Toronto
Jennifer Siu
University of Toronto