Marzyeh Ghassemi

Marzyeh Ghassemi is the Germeshausen Career Development Professor and an associate professor, with appointments in the Department of Electrical Engineering and Computer Science and the Institute for Medical Engineering & Science at MIT. Ghassemi’s research interests span representation learning, behavioral ML, healthcare ML, and healthy ML. One of her focuses is on real-world applications of machine learning, such as turning diverse clinical data into cohesive information with the ability to predict patient needs. Ghassemi has received BS degrees in computer science and electrical engineering from New Mexico State University, an MSc degree in biomedical engineering from Oxford University, and PhD in computer science from MIT.

Selected Publications

• Suriyakumar, V. M., Zink, A., Hightower, M., Ghassemi, M., & Beaulieu‑Jones, B. (2025). Computational challenges arising in algorithmic fairness and health equity with generative AI. Nature Computational Science.
• Heindrich, L., Torr, P., Barez, F., & Thost, V. (2025). Do sparse autoencoders generalize? A case study of answerability. Proceedings of the International Conference on Machine Learning (ICML) Workshop on Reliable and Responsible Foundation Models.
• Zhu, J., Greenewald, K., Nadjahi, K., Sáez de Ocáriz Borde, H., Gabrielsson, R. B., Choshen, L., Ghassemi, M., Yurochkin, M., & Solomon, J. (2024). Asymmetry in low-rank adapters of foundation models. Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 62369–62385). Proceedings of Machine Learning Research.

Media

• May 9, 2025: MIT News, School of Engineering faculty and staff receive awards for winter 2025
• December 13, 2024: MIT News, MIT affiliates named 2024 Schmidt Sciences AI2050 Fellows
• November 25, 2024: MIT News, Improving health, one machine learning system at a time