About Us
The Association for Health Learning and Inference (AHLI) is a not-for-profit organization dedicated to cultivating a vibrant, transdisciplinary community that works together to leverage artificial intelligence for health’s greatest good. Our vision is to be the homebase for ML and health, serving as the premier center for learning, collaboration, and innovation in the field.
Conferences
Governance and Leadership
The AHLI Board of Directors comprises a group of accomplished researchers, academics and scientists who provide guidance and visionary thinking to advance the field of machine learning for health.
Emory University
Microsoft Research
Stanford University
Stanford University
University of Chicago
UC Berkeley and UCSF
Harvard Medical School
MIT
Microsoft Research Cambridge
Duke University
Senior Advisory Committee
Ziad Obermeyer of UC Berkeley
Nigam Shah of Stanford University
Andrew Beam of Harvard University
Danielle Belgrave of GSK
Judy Gichoya of Emory University