Computation and Systems Biology (CSB)
The Computation and Systems Biology (CSB) degree programme is a partnership between the world-recognized CSBi programme at the Massachusetts Institute of Technology (MIT) and the visionary biology, bioengineering, and biotechnology programmes at NUS, NTU, and the A*STAR Research Institutes.
Students with backgrounds in either biology (with strong math skills), physics, chemistry, mathematics, computer science, or engineering are encouraged to apply. Students must be attracted to the interdisciplinary nature of the CSB degree programme, and have a strong interest in systems and computational approaches to stem cell and tissue biology. Students accepted into the CSB track will take a selection of modules offered in Singapore and MIT, including five MIT/CSBi courses beamed live from MIT -- a signature feature of the high degree of integration between the Singapore and the MIT/CSBi PhD courses. The CSB programme courses will cover topics in computational biology, systems biology, genomics, proteomics and imaging theory and technology,* *some of which will be team-taught by faculty members from Singapore and MIT. As part of the CSB degree programme, concepts emphasized in the class room will be applied in research projects that are tightly linked to the education programme.
CSB research projects will focus on the development of advanced technologies in biological probes, imaging, and computational biology, and the application of these technologies to medically relevant problems in tissue biology, including stem cell differentiation, tissue morphogenesis, infectious disease models, and tissue physiology.
(2007-01)Biomolecular pathways are building blocks of cellular biochemical function. Computational biology is in rapid transition from diagrammatic representation of pathways to quantitative and predictive mathematical models, which ...