Dr. Shen is a computer scientist working in the fields of medical image computing and bioinformatics. The central theme of his lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput omics data, cognitive and other biomarker data, electronic health record data, and rich biological knowledge (e.g., pathways and networks), with applications to various complex disorders. The goal is twofold: (1) advance computer science and bioinformatics by producing novel algorithms for analyzing large scale heterogeneous data sets; and (2) provide important new insights into the phenotypic characteristics and genetic mechanisms of normal and/or disordered biological structures and functions to impact the development of new diagnostic, therapeutic and preventative approaches. Further information about Dr. Shen's research activities is available at http://www.med.upenn.edu/shenlab/.

Dr. Shen is an elected fellow of the American Institute for Medical and Biological Engineering (AIMBE).