Marzyeh Ghassemi was home-schooled by her mother throughout her entire primary and secondary education. She started college when she was 15. At the age of 20, Ghassemi graduated from New Mexico State University in 2005 in electrical engineering, computer science, and mathematics.
Marzyeh Ghassemi collaborated with doctors in the intensive care unit at Beth Israel Deaconess Medical Center during her Ph.D. studies. In that work, Marzyeh Ghassemi realized that one of their biggest challenges was information overload.
Professor Ghassemi’s Ph.D. research focused on creating and applying machine learning algorithms. She wanted to improve the prediction and stratification of concerning human risks. She collaborated at Beth Israel Deaconess Medical Center and Massachusetts General Hospital. Ghassemi’s work has been applied to estimating the physiological state of patients during critical illnesses, modeling the need for clinical intervention, and diagnosing phonotraumatic voice disorders from wearable sensor data.
Currently, Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine. She’s a Vector Institute faculty member holding a Canadian CIFAR AI Chair too. She has served as a NeurIPS 2019 Workshop Co-Chair, and Board Member of the Machine Learning for Health Unconference.
During her stay at NMSU, Marzyeh Ghassemi was selected the NMSU Engineering Outstanding Junior of the Year in 2003, and NMSU Engineering and Arts and Sciences Outstanding Senior of the Year in 2005. In 2006, Ghassemi was named to the USA Today Second All-American Team.
Marzyeh Ghassemi served on MIT’s Presidential Committee on Foreign Scholarships from 2015-2018. She worked with MIT students to create competitive applications.
In 2015, Ghassemi also worked as a graduate student member of MIT’s Corporation Joint Advisory Committee on Institute-wide Affairs. She was selected between Innovators Under 35 by MIT Technology Review.
