Machine Learning for Health (ML4H)

November 28th, 2022

New Orleans, United States & Virtual

Intercontinental New Orleans

Machine Learning for Health (ML4H) brings together machine learning researchers, clinicians, and healthcare data experts. In this year's program, invited speakers and attendees will be able to discuss the utility and challenges of XAI as well as paths to practice for ML in healthcare. The two focus sessions are accompanied by keynotes (see all invited speakers here) as well as interactive research roundtables, two poster sessions, and datathon presentations. As usual, ML4H also publishes proceedings of accepted full papers in PMLR.

ML4H 2022 has concluded for this year. Thank you to all speakers, sponsors, and attendees for helping make ML4H 2022 such a success. Congratulations to our best papers:

For questions/comments, email us at For announcements, follow us on Twitter @symposiumml4h.

Berkman Sahiner headshot
Berkman Sahiner

FDA Center for Devices and Radiological Health (CDRH)
Senior Biomedical Research Scientist

Benjamin Recht headshot
Benjamin Recht

University of California, Berkeley
Associate Professor

Nicola Pezzotti headshot
Nicola Pezzotti

Philips Research
Senior Scientist and Project Lead
Eindhoven University of Technology
Assistant Professor

Mihaela van der Schaarheadshot
Mihaela van der Schaar

University of Cambridge

Himabindu (Hima) Lakkaraju headshot
Himabindu (Hima) Lakkaraju

Harvard University
Assistant Professor

Emmanuel Candès headshot
Emmanuel Candès

Stanford University

Zachary Lipton headshot
Zachary Lipton

Carnegie Mellon University
Assistant Professor

Edwin Fong headshot
Edwin Fong

Novo Nordisk
Data Scientist

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