I am a tenure track faculty member at the University of California and lead a computational medicine group for hypothesis-driven deep learning, engineering, and biomedical research to discover novel biological and clinical knowledge for inventing translational medical technologies to diagnose and treat cancer, infectious, and neurological diseases. I also have significant expertise and motivation for real-world clinical evaluations of research findings. Research in my lab builds a unified scaffolding of novel deep learning, biological and statistical reasoning methods to resolve distinct hypothesis driven research problems including, for example, how to diagnose and treat cancer disease, how to leverage causal structures in big observational data for unbiased patient centered medicine, and how infectious microbes and host cells adapt during disease – under a single theoretical and methodological framework. My research aims to establish a new theory and practice for computational medicine research by moving us from a static snapshot of biomedical research to a fully dynamic and living-systems wide perspective of molecular and clinical processes, and is motivated to invent and deploy pragmatic and equitable medical technology for improving health and managing diseases.