Ziyang Song
Assistant Professor
Stocker Center 313
Dr. Song received a Ph.D. degree in computer science from McGill University. Song's current research focus is the development of trustworthy and explainable AI models to address critical biomedical challenges. In generative modelling, he focuses on time-series representation learning for biosignals, clinical measurements, and longitudinal medical records, enabling health trajectory analysis and various clinical tasks. In probabilistic modelling, his work involves interpretable medical representations to improve clinical decision-making for electronic health records.