Marzyeh Ghassemi is a Visiting Researcher with Google’s Verily and a post-doc 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, structured prediction. Marzyeh’s work has been applied to estimating the physiological state of patients during critical illnesses, modelling 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. Prior to MIT, Marzyeh received B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University, worked at Intel Corporation, and received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar.