ML4H: Marzyeh Ghassemi: The pulse of ethical machine learning in health @broadinstitute
ML4H: Marzyeh Ghassemi: The pulse of ethical machine learning in health  @broadinstitute
Uploaded January 2026 | Updated September 2026, 2 weeks ago
In this video, Marzyeh Ghassemi (MIT) presents 'The pulse of ethical machine learning in health'.

Presentation Date: 10/01/25

Bio: Dr. Marzyeh Ghassemi is an Associate Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES). She holds MIT affiliations with the Jameel Clinic, LIDS, IDSS, and CSAIL. Professor Ghassemi holds a Germeshausen Career Development Professorship, and has been named one of MIT Tech Review’s 35 Innovators Under 35, a Sloan Research Fellow, a CIFAR Azrieli Global Scholar and an AI2050 Fellow; she has also received the 2018 Seth J. Teller Award, the 2023 MIT Prize for Open Data, a 2024 NSF CAREER Award, and a Google Research Scholar Award. Prior to her PhD in Computer Science at MIT, she received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University. Professor Ghassemi's work spans computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, The Boston Globe, and The Huffington Post.

For more information, visit: broadinstitute.org/ml4h

Copyright Broad Institute, 2025. All rights reserved.
ML4H: Marzyeh Ghassemi: The pulse of ethical machine learning in healthML4H: Girish Nadkarni, Artificial Intelligence: Applications, Challenges and OpportunitiesInterpretable Representation Learning for Wound Healing DynamicsThe Impact of Drop-seq  #scienceVariant to Function (V2F) Symposium: Keynote - Robert Plenge (2025)Uncovering Dark Metabolites through Neural Structural Elucidation with Tandem Mass SpectrometryEWSC: Context in AI Research: Focus on HealthcareObesity ML Competition: Lecture 1, Part B - Biology - Adipose Tissue and Metabolic DiseasesMPG Primer: Mendelian Randomization (2025)EWSC: Virtual patient Labs: AI-Driven Simulation and Diagnostics for Precision OncologyHappy #DNA Day! Learn about Broad Clinical Labs!  #science #genetics #broadinstituteStanley Center Stem Cell Program  #science #genetics
Broad Institute |

ML4H: Marzyeh Ghassemi: The pulse of ethical machine learning in health

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER