Research Focus
Systems Biology students receive training not only in a specific biological research field, but also in the acquisition and integration of different types of quantitative data from different platforms (genomics, gene expression, proteomics, molecular, cellular, and functional data). Since these multiscale data are extremely complex, quantitative mathematical and computational modeling is required for analysis and prediction. This approach is distinct from traditional biomedical research, although it has many aspects in common with approaches that form the core of the program (biophysics, structural biology, chemical biology, and imaging science). Students in Systems Biology will take a flexible curriculum that permits in-depth coursework in both a specific disease model and state-of-the-art quantitative approaches, including mathematical modeling.
Examples of Coursework:
Molecular Structure and Function
Quantum Chemistry
Medicinal Chemistry
Physics of Medical Imaging
Molecular Modeling Methods
Computational Structural Biochemistry
Biological Basis of Imaging
Quantitative and Functional Imaging
Mathematical Methods in Imaging sciences
Foundations in Bioinformatics Neuroimaging
Systems Biology
Cancer Systems Biology
Physical Measurements of Biological Systems
Theoretical and Experimental Systems Biology
Biophysical Models of Cancer
Molecular Endocrinology
Advanced Concepts in Cancer Biology
Cell Biology
Cellular and Molecular Neuroscience
Molecular and Cellular Immunology