Colak, E., Moreland, R., Ghassemi, M. (2021). Marzyeh Ghassemi - AI for Good She was also recently named one of MIT Tech Reviews 35 Innovators Under 35. arXiv preprint arXiv:2006.11988, Unfolding Physiological State: Mortality Modelling in Intensive Care Units 225 2014 ", Computer Science and Artificial Intelligence Laboratory (CSAIL), Institute for Medical Engineeering and Science, Department of Electrical Engineering and Computer Science, Electrical Engineering & Computer Science (eecs), Institute for Medical Engineering and Science (IMES), With music and merriment, MIT celebrates the upcoming inauguration of Sally Kornbluth, President Yoon Suk Yeol of South Korea visits MIT, J-PAL North America announces six new evaluation incubator partners to catalyze research on pressing social issues, Study: Covid-19 has reduced diverse urban interactions, Deep-learning system explores materials interiors from the outside, Astronomers detect the closest example yet of a black hole devouring a star. During 20122013, she was one of MITs GSC Housing Community Activities Family Subcommittee Leads, and campaigned to have back-up childcare options extended to all graduate students at MIT. Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matas Zaartu, Harold A. Cheyne II, Robert E. Hillman, and John V. Guttag 90 2019 Published February 2, 2022 By Mehdi Fatemi , Senior Researcher Taylor Killian , PhD student Marzyeh Ghassemi , Assistant Professor As the pandemic overburdens medical facilities and clinicians become increasingly overworked, the ability to make quick decisions on providing the best possible treatment is even more critical. 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. Marzyeh Ghassemi. MIT EECS or This page was last edited on 19 March 2023, at 11:56. As an MIT undergrad interested in an UROP: Contact Fern Keniston (fern@csail.mit.edu) to determine if there are research slots available for the semester, and schedule a 30 minute session with Dr. Ghassemi. MIT Institute for Medical In 2015, she also worked as a graduate student member of MITs CJAC (Corporation Joint Advisory Committee on Institute-wide Affairs), a committee to which the Corporation can turn for consideration and advice on special Institute-wide issues. Publications. The Healthy ML group tackles the many novel technical opportunities for machine learning in health, and works to make important progress with careful application to this domain. As co-chair, she worked with subcommittee leads to create a third month of maternity benefits for EECS graduate women, create a \$1M+ fundraising target for a needs-based grant administered to graduate families at MIT, successfully negotiated a 4% stipend increase for MIT graduate students for the 2014 fiscal year (approved by MITs Academic Council), and worked with HCAs Transportation Subcommittee to expand new transportation options for the 2/3 of graduate students that live off campus. She served on MITs Presidential Committee on Foreign Scholarships from 2015-2018, working with MIT students to create competitive applications for distinguished international scholarships. Download Preprint. Simultaneous Similarity-based Self-Distillation for Deep Metric Learning, A comprehensive EHR timeseries pre-training benchmark, An empirical framework for domain generalization in clinical settings. Marzyeh Ghassemi - Wikipedia