The Department of Biomedical Informatics currently has one option for doctoral study, which is the Biomedical Sciences Graduate Program (BSGP) with research emphasis in computational biology and bioinformatics.
BSGP was designed with the fundamental educational goals of providing students with two elements for success as researchers: (1) Intensive, broad-based education related to the mechanisms of human disease; and (2) In-depth research with investigators at the forefront of science.
The details for the research track are listed below with the desired qualifications for admittance:
Computational Biology & Bioinformatics (CBB)
Faculty contact for the CBB research area: Ewy Mathé, PhD
Students can focus on any of the following areas for transcript designation in CBB:
- Training in the processing, analysis, mining, and integration of data from multiple sources such as genomic sequencing, epigenetics studies, gene and protein expression profiling, radiological studies, microscopy imagery, electrophysiological experiments, and numerical simulation studies;
- Development of models to explain physiological and pathological processes; and/or
- Development of database technology, data analysis techniques, high performance computing infrastructure, and systems software/middleware needed to carry out tasks associated with the aggregation and analysis of biomedical data (and needed to carry out biomedical simulations).
This area of research emphasis will involve the integration of large-scale data analysis, management, processing, and visualization with biomedical informatics. We will engage trainees in a highly collaborative interdisciplinary research program on high throughput data analysis and integration for biomedical applications in high-end computing environment. We will also provide access to a customized program of coursework in biomedical informatics, computer science, and in basic and translational biomedical sciences.