M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, SSMBA Previously, she was a Visiting Researcher with Alphabets Verily and a post-doc with Peter Szolovits at MIT. Marzyeh Ghassemi Academic Research @ MIT CSAIL Research Directions and Professor Ghassemi has published across computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. 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. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. Dr. Marzyeh Ghassemi leads the Healthy Machine Learning lab at MIT, a group focused on using machine learning to improve delivery of robust, private, fair, and Marzyeh completed her PhD at MIT where her research focused on machine learning in health care, exploring how to 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. Correction to: The role of machine learning in clinical research Similarly, women face increased risks during metal-on-metal hip replacements, Ghassemi and Nsoesie write, due in part to anatomic differences that arent taken into account in implant design. Facts like these could be buried within the data fed to computer models whose output will be undermined as a result. 77 Massachusetts Ave. Dr. Marzyeh Ghassemi is an Assistant Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES), and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. Marzyeh Ghassemiwill join the Institute for Medical Engineering and Science and the Department of Electrical Engineering and Computer Science as an Assistant Professor in July. Edward H. Shortliffe Doctoral Dissertation Award | AMIA The problem is not machine learning itself, she insists. This website is managed by the MIT News Office, part of the Institute Office of Communications. Her work has been featured in popular press such as MIT News, NVIDIA, Huffington Post. Professor Ghassemi has published across computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. 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.