Hurtful words: quantifying biases in clinical contextual word embeddings
Type
Publication
proceedings of the ACM Conference on Health, Inference, and Learning
Haoran Zhang
Haoran is a fourth year PhD student in EECS at MIT. He is generally interested in building robust machine learning models that maintain their performance and fairness across out-of-distribution environments, as well as applying such models to the healthcare setting. Haoran previously received his M.Sc. at the University of Toronto under the co-supervision of Dr. Marzyeh Ghassemi and Dr. Quaid Morris, and his B.Eng. from McMaster University.