Senior Scientist
Michael Hoffman
Data scientist - epigenomics, gene regulation, graphical models
PhD
Location
University Health Network
Research Interests
Graphical Models, Benchmarking, Imbalanced Data, Reproducibility, Interoperability
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 is a Senior Scientist at Princess Margaret Cancer Centre and Associate Professor in the Departments of Medical Biophysics and Computer Science, University of Toronto. 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.