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Instructors

B.F. Francis Ouellette is currently consulting in bioinformatics. Francis co-founded the Canadian Bioinformatics Workshops (CBW) and the Scientific Director of bioinformatics.ca from 1998 to 2022. His research interests included biological sequence analysis, genome annotation and database curation. Francis has dedicated his career to Open Science: the data it generates, how bioinformatics is thought and the publications that report them throughout his career and through his work with the CBW and the many scientific advisory and editorial boards he serves on.
Gabriela is a MSc student in computer sciences at the University of Toronto under the supervision of Dr. Fanny Chevalier at the Dynamic Graphics Project, and Dr. Anna Goldenberg’s lab at SickKids Hospital. Her research is grounded in understanding human factors in the design of data- and data-visualization systems in healthcare. She has designed analytics interfaces in both industry and academic settings, and develops tooling in the form of R packages to increase understanding and ease of application of findings through interactive visualizations of the relationships between models and their clinical contexts.
Gary Bader is a Professor at The Donnelly Centre at the University of Toronto and an expert in Computational Biology. The Bader lab is developing computational methods and an ecosystem theory of tissue function that considers cell-cell interactions, cell growth, and cell internal mechanisms, such as pathways, reactions, and causal relationships, to help understand development, cancer and regenerative wound healing processes.
Dr. Gary Van Domselaar, Ph.D. (University of Alberta, 2003) is the Section Chief for Bioinformatics at the National Microbiology Laboratory in Winnipeg, Canada and Associate Professor in the Department of Medical Microbiology at the University of Manitoba. Dr. Van Domselaar’s lab develops methods and pipelines to understand, track, and control circulating infectious diseases in Canada and globally. His research and development activities span metagenomics, infectious disease genomic epidemiology, genomic surveillance, genome annotation, population structure analysis, and microbial genome-wide association studies.
Gregory develops and implements clinical genomic tests focusing on molecular profiling of tumour specimens for Toronto General Hospital and Princess Margaret Cancer Centre. His PhD from the University of Guelph explored the maize developmental transcriptome, showing how patterns of co-regulation can help us to understand the function of unannotated genes.
Dr. Schwartz is a Scientist at the Princess Margaret Cancer Centre and Assistant Professor in the Department of Medical Biophysics at the University of Toronto focused on bioinformatics and computational biology. He received his Ph.D. in Biomedical Engineering at Drexel University and completed his postdoctoral fellowship at the Perelman School of Medicine in the University of Pennsylvania. His current research involves developing computational methods to understand the role of cellular diversity and evolution in cancer and leveraging this knowledge to improve diagnosis and treatment.
Dr. Bourque’s research interests are in comparative and functional genomics with a special emphasis on applications of next-generation sequencing technologies. His lab develops advanced tools and scalable computational infrastructure to enable large-scale applied research projects.
My research interests are in next-generation sequencing technologies and pipelines and in better understanding genetic diseases such as cancer. I have a BSc in Cellular, Molecular and Microbial Biology from the University of Calgary and an MBinf (Bioinformatics) from the University of Guelph. I am currently completing my PhD at the Ontario Institute for Cancer Research and the University of Toronto.
She graduated from Carnegie Mellon University in 2017 with a dual degree in Computational Biology and Chemistry. She is interested in developing machine learning models for improving current strategies of neoantigen design and prioritization for cancer immunotherapy.
Ishu has a BSc in electrical engineering and has interest in digital signal processing and data science. He has worked in the Wishart Research Group to apply machine learning to various applications in bioinformatics, biology, and metabolomics.
Jacqueline is a postdoctoral fellow in Dr. William Wong’s lab at University of Waterloo’s School of Pharmacy. Her current work focuses on the development of pharmacoeconomic models for health outcomes research. Her PhD thesis entailed a broad-scale comparison of different imputation methods on trait datasets and an investigation of how these methods impact statistical inferences.