2018 Innovator Under 35: Marzyeh Ghassemi

Marzyeh Ghassemi, University of Toronto, Vector Institute

Using AI to make sense of messy hospital data

Marzyeh Ghassemi, Assistant Professor, University of Toronto, Vector Institute

Marzyeh Ghassemi is a visiting researcher with Google’s Verily and a postdoc in the Clinical Decision Making Group at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), supervised by Dr. Peter Szolovits. She will join the University of Toronto as an assistant professor in computer science and medicine in fall 2018, and will be affiliated with the Vector Institute.

Marzyeh’s research focuses on machine learning with clinical data to predict and stratify relevant human risks, encompassing unsupervised learning, supervised learning, and structured prediction. Her work has been applied to estimating the physiological state of patients during critical illnesses, modeling the need for a clinical intervention, and diagnosing phonotraumatic voice disorders from wearable sensor data.

Her work has appeared in KDD, AAAI, IEEE TBME, MLHC, JAMIA, and AMIA-CRI; she has also co-organized the NIPS 2016 Machine Learning for Healthcare (ML4HC) and 2014 Women in Machine Learning (WIML) workshops. Before MIT, Marzyeh received BS degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University, worked at Intel, and received an MSc in biomedical engineering from Oxford University as a Marshall Scholar.

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Innovators Under 35
individuals whose superb technical work promises to shape the coming decades through the development of new technology or the creative application of existing technologies to solve problems.