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Li Shen

My research interests include machine learning, medical image computing, biomedical and health informatics, network science, imaging genomics, multi-omics and systems biology, Alzheimer’s disease, health disparity, and big data science in biomedicine. The central theme of my lab is focused on developing and applying informatics, computing and data science methods for discovering actionable knowledge from complex biomedical and health data (e.g., genetics, omics, imaging, biomarker, outcome, EHR, health care). The goal is threefold: 1) advance informatics, computing and data science by producing novel algorithms for analyzing large scale heterogeneous data sets; 2) provide important new insights into the phenotypic characteristics and genetic and molecular mechanisms of normal and/or disordered biological structures and functions to impact the development of new diagnostic, therapeutic and preventive approaches; and 3) improve health and health care by contributing to collaborative, multidisciplinary research that influences policy and practice.
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