Li Shen

PeerJ Editor & Author

Summary

Li Shen received his Ph.D. in Computer Science from Dartmouth College in 2004. He is a Professor of Informatics in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University of Pennsylvania. He is an elected fellow of the American Institute for Medical and Biological Engineering (AIMBE).

Artificial Intelligence Bioinformatics Computational Biology Data Mining & Machine Learning Data Science Genetics Genomics Medical Genetics Neurology Neuroscience Radiology & Medical Imaging Visual Analytics

Editing Journals

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Pennsylvania

Work details

Professor of Informatics

University of Pennsylvania

Biostatistics, Epidemiology and Informatics

Dr. Shen's research interests include medical image computing, bioinformatics, machine learning, imaging genomics, network science, and big data science in biomedicine. 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 such as Alzheimer’s disease. 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.