Contact: yh2563@nyu.edu

Bio: Yaozhong (Harry) Huang is a Ph.D. student at the NYU Center for Data Science, co-supervised by Riccardo Lattanzi and Carlos Fernandez-Granda. He received his M.S. in Data Science from NYU CDS and his B.S. in Data Science and B.A. in Financial Economics from the University of Rochester. His research focuses on the application of deep learning to multimodal medical data, with particular interests in integrating imaging and clinical data to improve diagnosis and prognosis, developing label-efficient representation learning and pretraining methods, and building reliable models with well-calibrated uncertainty for real-world clinical applications.