Laboratory
| POSITIONS |
| In general, we are consistently looking for motivated students (from Indiana University or Purdue University) with background in medical image computing, CS, informatics, statistics, or engineering to work with our group on advanced neuroimaging and bioinformatics technology development and application. If you are interested, please email me (shenli@iupui.edu) for additional information. |
UNDERGRADUATE RESEARCH OPPOTUNITIES |
| We have two NSF REU summer research openings for undergraduate students. See here for details. |
EXAMPLE PROJECTS |
| Data mining for biomarker discovery: Today's generation of multi-modal imaging systems produces massive data sets which provide exciting opportunities to enhance our understanding of underlying mechanisms associated with human diseases. The research in our lab is focused on developing data mining strategies for revealing sophisticated relationships among these complex data sets thereby expanding our understanding of human disease. The student will participate in the development and application of a prototype data mining software toolkit for identification of imaging and other biomarkers relevant to brain disorders such as Alzheimer’s disease (AD). Skills expected from the student: Matlab and/or Python programming skill, basic knowledge in data mining and statistics |
| Image analysis for identifying craniofacial dysmorphology in a translational fetal alcohol study: Craniofacial dysmorphology is an important diagnostic feature of Fetal Alcohol Spectrum Disorder (FASD). To further understand the developmental consequences of alcohol exposure, this study aims to examine the effect of alcohol exposure on underlying cranial facial morphology in a mouse model. In this project, the student will learn state-of-the-art image and shape analysis software tools and apply them to analyze microCT and MRI images. Skills expected from the student: Basic knowledge in image processing and analysis, Matlab programming skill, quick to learn new software |
| Pathway analysis for imaging genetics: Imaging genetics, an emerging transdisciplinary area, holds great promise for systems biology of the brain to better understand complex neurobiological systems. Pathway analysis is a critical component that can not only guide the discovery of the imaging genetic patterns from high dimensional heterogeneous data sources but also aid in the interpretation of these findings. In this project, the student will learn state-of-the-art pathway analysis software tools and apply them to help an imaging genetic study in Alzheimer’s Disease. Skills expected from the student: Basic knowledge in biology and bioinformatics, quick to learn new software. |
| Human connectome analysis in neurodegerative diseases: Human Connectome Project aims to map the neural pathways that underlie human brain function. The student is expected to provide support and assistance to aid investigators in conducting connectome research in neurodegenerative diseases, including brain image analysis and related programming development. Skills expected from the student: Strong programming skill in Matlab and/or Python or other languages. |
| Neuroinformatics toolkit development: SPHARM-MAT is a 3D shape modeling and analysis toolkit developed at our lab, and is designed to aid statistical shape analysis for relating morphometric changes in 3D structures of interest to different conditions. IG-Browser is an imaging genomic browsing system under development at our lab, and is designed for genome wide analysis of neuroimaging phenotypes. The student will participate in further development and improvement of these toolkits. Skills expected from the student: Python and/or Matlab programming skill, knowledge in image processing and analysis. |
950 W Walnut St R2 E124, Indianapolis, IN 46202 | Tel: 317 278 0498 | Email: shenli@iupui.edu