Machine learning in biomedicine

Our team develops novel machine learning methods and models to answer key questions in biomedicine: how do mutations arise and contribute to disease? How to accurately predict cancer patient outcomes? What is the role of inherited genetic factors in diseases? Together with our collaborators, we focus on answering these questions in cancers and hematological malignancies. We create scalable and multimodal machine learning techniques utilizing genome, transcriptome, epigenome and imaging data to build clinically useful computational tools.