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Marzyeh Ghassemi leads the Healthy ML group at the Massachusetts Institute of Technology (MIT), focusing on the intersection of machine learning and health care. Her research aims to address the critical challenges in health care technology, especially concerning biases in machine learning models that can adversely affect minority populations. Ghassemi investigates the complexities of disease management, emphasizing the need for robust, ethical applications of machine learning to improve health outcomes. She has achieved notable recognition in her field, having been awarded the MIT AI World Award for her work on bias in healthcare and being named a Sloan Research Fellow. Furthermore, Ghassemi actively mentors undergraduate and postdoctoral researchers in her lab and participates in admissions for PhD candidates in the electrical engineering and computer science program at MIT, ensuring a close alignment of research interests among her students and research fellows.
Massachusetts Institute of Technology • Cambridge, MA
Leads the Healthy ML group focusing on applying machine learning techniques to improve health outcomes.