Bioinformatics is an interdisciplinary program that combines the application of computer technology to the management and analysis of biological data. The result is that computers are being used to organize data generated from experiments into databases, develop new algorithms and software, and use this software for the interpretation and analysis of the data into meaningful biological information. For the past ten years, our PhD program has been training students to organize, visualize, analyze and interpret biological data. Students have access to world renowned bioinformaticians at the University of British Columbia, Simon Fraser University and the BC Cancer Agency, and have exposure to the latest technologies to develop their skills.
Strategic Program Objectives:
- To build on British Columbia's reputation and excellence in bioinformatics.
- To integrate bioinformatics into basic biology to further current research excellence in other life science sectors of the province.
- To foster collaborations locally, nationally and internationally.
What sets the UBC program apart?
The Bioinformatics PhD program integrates academic centres in computer science, statistics, molecular biology and biotechnology, with translational groups at hospitals and at the clinical interface. The innovative partnership among the University of British Columbia, Simon Fraser University and the BC Cancer Agency allows students' access to experts in the field of bioinformatics, and exposure to original research and opportunities to complete significant practical work on real bioinformatics problems. Internships allow student mobility between Canadian and international universities, institutions and industries to further enhance collaborations among Canadian high-technology research groups in both the private and public sectors.
As biological datasets increase exponentially in both size and complexity, bioinformatics tools have central importance in fields and industries ranging from environmental management, forestry, aquaculture, and biofuels to personalized medicine, drug development, preventative medicine and gene therapy. Individuals who can analyuze and interpret large data sets or "big data" are highly sought after by both public and private sector employers. Academic positions at Universities are widely available in all fields of study.
Ph.D. graduates from the program have gone on to pursue post-doctoral studies at Stanford, Harvard school of Medicine, Max Delbruck Centre in Berlin, Broad Institute at MIT and Harvard, Ontario Cancer Institute, Howard Hughes Medical Institute in Santa Cruz, and locally at UBC and SFU. One graduate is an assistant professor at Simon Fraser University and another is an assistant professor at the University of Dalhousie in Halifax, NS.