Li Shen
Phone: (317) 278-0498
Email: shenli@iupui.edu

Welcome to the Laboratory of Li Shen at the Indiana University School of Medicine. Our laboratory is focused on research and training in medical image computing, computational biology, and bioinformatics. We study cutting-edge computational and informatics methods, and turn them into practical tools that can help computers better understand digital data (e.g., 1-D sequences, 2-D images, and 3-D shapes) in practical applications. In particular, we are currently working on various neuroimaging and genomics projects. In these projects, we apply, extend or develop state-of-art software tools for analyzing structural and functional neuroimaging data as well as genomic and other related biomarker data. The ultimate goal is to improve early diagnosis and mechanistic understanding of disease processes and treatment response for brain disorders such as Alzheimer's disease and schizophrenia, as well as the cognitive effects of cancer chemotherapy. We are also involved in two Fetal Alcohol Spectrum Disorders (FASD) studies, where we develop facial imaging methods to identify features important in FASD as well as examine a parallel mouse model to examine how timing of alcohol exposure influences the pattern of facial dysmorphology. The computational methods we study in these biomedical applications include (1) image & vision computing, (2) data mining & pattern recognition, and (3) geometric modeling & graphics.

See our Positions page for current openings. We are consistantly looking for (1) motivated PhD students (from Indiana University or Purdue University) and (2) postdoctoral fellows with background in medical image analysis, bioinformatics, image and vision computing, statistics, machine learning, or genetics to work with our group on advanced neuroscience-relevant medical image analysis and bioinformatics technology development and application. Please check our Publications and Research pages for more information about our research activities. If you are interested, please email me (shenli@iupui.edu) for additional information.