Mentor Areas
Dr. Shen’s research interests include medical image computing, bioinformatics, machine learning, network science, visual analytics, 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 such as pathways and networks, with applications to 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.
Description:
We are looking for highly motivated students to work with our group on advanced biomedical informatics technology development and application. Projects will vary and will be within the scope of our research. More details are available at https://www.med.upenn.edu/shenlab/research.html.
Preferred Qualifications
Students should be interested in quantitative research and have a basic quantitative background and good programming skills.
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.