What is Systems Biology?
Systems biology describes the scope of inquiry and range of techniques employed to address large-scale research projects. It cuts across disciplines by integrating traditional approaches with new technologies and quantitative analysis. Systems biology allows coordinated research teams to perform cutting edge health research by integrating data from gene to patient.
Students in the Systems Biology Training Program are engaged in wide-ranging research in a number of areas. They are enrolled in a number of faculties and departments, including Biochemistry, Biology, Physiology, Human Genetics, Computer Science, and Physics. Below are a few examples of some of the projects.
Rotations form a central component of the Systems Biology Training Program and are designed to provide hands-on experience in areas outside a student's traditional training program.
The Systems Biology Training Program has available funding for Systems Biology students wishing to attend external workshops or conferences. Students are eligible to receive this funding on a competitive basis (conference/workshop fit to the training program, performance of the student). The student is expected to arrange for matching funds from supervisor or alternative source. An application form is available: Travel funds application [.docx]
The Systems Biology Training Program will provide Ph.D. students with early career training to prepare them for multidisciplinary research and to lead interdisciplinary teams. The program involves various elements that provide a broad base of experience combined with in-depth knowledge of the student’s discipline.
The Systems Biology Training Program is open to students from any discipline who are interested in adapting their current work into a systems approach to health research, and who are currently working in a lab that meets the program’s requirements. Traditionally, students have come from the life sciences departments, such as Biochemistry, Physiology, and Biology, or from related quantitative disciplines such as Bioinformatics or Biostatistics. We encourage, however, applications from students in diverse fields such as Mathematics, Computer Science, Physics, Engineering, Psychology, etc.