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Jameel Clinic
Marzyeh Ghassemi is a 2022 principal investigator for AI and health at the Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic), the epicentre of artificial intelligence in healthcare at the Massachusetts Institute of Technology (MIT), where she is also Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES). Marzyeh is also a faculty member at the Vector Institute in Canada, holding prestigious positions such as the Canadian CIFAR AI Chair and Canada Research Chair.
Marzyehy has been recognised with numerous accolades including the Herman LF von Helmholtz Career Development Professorship, and has been named a CIFAR Azrieli Global Scholar and one of MIT Technology Review's 35 Innovators Under 35. She has also been associated with Alphabet's Verily as a Visiting Researcher and has previously held a position as an Assistant Professor at the University of Toronto. She holds a master's of science in biomedical engineering from University of Oxford, where she was a Marshall Scholar, and bachelor's degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.
Beyond her research, Marzyeh is actively involved in organising academic workshops and conferences, serving as a NeurIPS Workshop Co-Chair and General Chair for the ACM Conference on Health, Inference and Learning (CHIL). She also founded the non-profit Association for Health Learning and Inference. Her research has been published in prestigious 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 Fortune, MIT News, NVIDIA and The Huffington Post.
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1 April 2024
07h30-15h00
Markell Conference Center Mass General Brigham Somerville, MA USA
19 December 2023
08h30-16h45
Crowne Plaza Riyadh RDC Hotel & Convention, Riyadh Digital City
10 July 2023
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21 July 2023
24 April 2023
07h30-15h00
Samberg Centre, MIT, Boston, Massachusetts