COB students are exposed to a wide variety of working scientists whose research spans the spectrum of cutting-edge problems at the intersection of biology and computational methods, including:
- Macromolecular modeling: Macromolecular algorithms and simulations; structure, dynamics, and function of biomolecules (interactions among biomolecules and with drugs and carcinogens).
- Computational genomics, proteomics and systems biology: Structural, functional, and comparative genomics; proteomics; methods for inferring and analyzing regulatory, metabolic, signal transduction, and protein-protein interaction networks
- Bioinformatics and data mining: Development and applications of bioinformatics tools for the analysis of sequences, alignments, phylogeny and motifs; integration of large scale genomics, proteomics and ontology data; advanced database systems for biological and medical datasets.
- Translational bioinformatics: Development and application of bioinformatics tools for clinical and translational sciences, playing a crucial role in moving day-to-day clinical practice towards predictive and personalized biomedicine.
- Physiological and biophysical modeling: Mathematical analysis and computer simulation of cellular function, signal transduction pathways, neuronal networks, and cardiovascular and other systems.
- Methods in cellular and biomedical imaging: Computerized tomography (CT scanning), nuclear magnetic resonance spectroscopy and magnetic resonance imaging, ultrasound imaging, inverse problems, and image reconstruction in microscopy.