Shen Lab at Penn
Welcome to the Laboratory of Li Shen at the Perelman School of Medicine at the University of Pennsylvania. Our research interests include medical image computing, bioinformatics, machine learning, network science, visual analytics, and big data science in biomedicine.
The central theme of our 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 such as 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 preventive approaches.
We are looking for highly motivated students and scholars with background in biomedical informatics, computer science, statistics, or engineering to join our lab! We are affiliated with the following graduate groups: GCB, GGEB, AMCS and BE. Positions for undergraduate and graduate students and PostDocs are available. If you are interested, please email email@example.com for additional information.