Research in the Haibe-Kainslab is focused on the development of novel computational approaches to best characterize carcinogenesis, drugs’ mechanisms of action and their therapeutic effects from high-throughput genomic data. We have strong expertise in machine learning applied to biomedical problems, including the development of robust prognostic and predictive biomarkers in cancer. We are collaborating with the Aerts lab to apply machine learning approaches in the context of Radiomics. Our large network of national and international collaborators, including clinicians, molecular biologists, engineers, statisticians and bioinformaticians uniquely positions us to perform cutting-edge translational research to bring discoveries from bench to bedside. See the lab website for further information:
Research in the Liu lab is focused on translational molecular oncology, including the development of biomarkers for head & neck cancers, high-throughput screens to identify novel anti-cancer therapeutics, and stem cell regenerative therapy. Using DNA, RNA, and protein extracted from diagnostic human cancer samples, we are in the process of conducting multi-omic global expression analyses. See the lab website for further information:
Research in the Aerts lab is focused on the integration and analysis of various types of data for personalized medicine, specifically from imaging and genomic data. See the lab website for further information:
Dr. Benjamin Haibe-Kains has over 10 years of experience in computational analysis of genomic data, including genomic and transcriptomic data. He is the (co-)author of more than 100 peer-reviewed articles in top bioinformatics and clinical journals. For an exhaustive list of publications, go to Dr. Haibe-Kains’ Google Scholar Profile.
Dr. Fei-Fei Liu is Chief and Chair, and Professor in the Departments of Radiation Oncology, Medical Biophysics and Otolaryngology at the University of Toronto. She holds the Dr. Mariano Elia Chair in Head and Neck Oncology. For an exhaustive list of publications, go to Dr. Liu’s Google Scholar profile.
Dr. Hugo Aerts has a broad background in engineering, with specific expertise in the extraction and analysis of medical imaging data, in bioinformatics and in genomic data analysis. For an exhaustive list of publications, go to Dr. Aerts’ Google Scholar Profile.
Princess Margaret Cancer Centre
The Princess Margaret Cancer Centre (PM) is one of the top 5 cancer centres in the world. PM is a teaching hospital within the University Health Network and affiliated with the University of Toronto, with the largest cancer research program in Canada. This rich working environment provides ample opportunities for collaboration and scientific exchange with a large community of clinical, genomics, computational biology, and machine learning groups at the University of Toronto and associated institutions, such as the Ontario Institute of Cancer Research, Hospital for Sick Children and Donnelly Centre.