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? We create scalable and multimodal machine learning techniques utilizing genome, transcriptome, epigenome and imaging data to build clinically useful computational tools.
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