Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. Previously, she was a Visiting Researcher with Alphabet’s Verily and a post-doc with Dr. Peter Szolovits at MIT.
Professor Ghassemi has a well-established academic track record in personal research contributions across computer science and clinical venues, including KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, EMBC, Nature Translational Psychiatry, Critical Care, and IEEE Transactions on Biomedical Engineering. She is an active member of the scientific community, reviewing for NIPS, ICML, KDD, MLHC, AAAI, AMIA/AMIA-CRI, and JMLR. She has co-organized the 2016/2017/2018 NIPS Workshop on Machine Learning for Health (ML4H), been 2018 Area Chair for MLHC, and served as an Academic Guest Editor on the 2018 PLoS ONE call on Machine Learning in Health and Biomedicine. Professor Ghassemi’s work has been featured online, in popular press such as MIT News, NVIDIA, Huffington Post. She was also recently named one of MIT Tech Review’s 35 Innovators Under 35.