Instructors

Michael Hoffman creates predictive computational models to understand interactions between genome, epigenome, and phenotype in human cancers. He implemented the genome annotation method Segway, which simplifies interpretation of large multivariate genomic datasets, and was a linchpin of the NIH ENCODE Project analysis. He was named a CIHR New Investigator and has received several awards for his academic work, including the NIH K99/R00 Pathway to Independence Award, and the Ontario Early Researcher Award.

David works in Guillaume Bourque’s lab on software solutions in bioinformatics for organizing, visualizing and analyzing datasets produced by large-scale projects such as the International Human Epigenome Consortium (IHEC), which maps human epigenomes for a broad spectrum of cell types and diseases. He is also involved in the development of GenAP, a platform that leverages Compute Canada infrastructure to make bioinformatics analysis more accessible to non-bioinformaticians, and reduces data processing bottlenecks.