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Michael Hoffman, PhD

Scientist, Princess Margaret Cancer Centre
Toronto, Canada

Research field: Biological Sciences - Bioinformatics
functional genomics, machine learning, chromatin


Awards and Grants

  •  Sep 2011 
    Pattern discovery for comparative epigenomics (NIH/NHGRI K99HG006259) View website
  •  Mar 2003 
    Graduate research fellowship (NSF/DGE DGE-0435785) View website

Biographical Information

I develop machine learning methods for functional genomics. I am responsible for Segway, a dynamic Bayesian network method for simultaneously segmenting and clustering multiple tracks of data from ChIP-seq or DNase-seq experiments.


Professional Experience

2014 - Present
Assistant Professor at Department of Medical Biophysics, University of Toronto
Toronto, Canada
2013 - Present
Scientist at Princess Margaret Cancer Centre
Toronto, Canada
Sep 2008 - Oct 2013
Senior Fellow at Department of Genome Sciences, University of Washington
Seattle, Washington, United States
Oct 2003 - Jul 2008
Predoctoral Fellow at European Bioinformatics Institute
Cambridge, United Kingdom
May 1999 - Sep 2003
Research Assistant at Department of Chemistry and Biochemistry, University of Texas at Austin
Austin, Texas, United States

Oct 2003 - Jul 2008
Trinity College, University of Cambridge in Cambridge, United Kingdom
Doctor of Philosophy
Aug 1998 - May 2003
The University of Texas at Austin in Austin, Texas, United States
Bachelor of Science, Biochemistry; Bachelor of Arts, Plan II Honors Liberal Arts

Contact Information

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Toronto, Canada
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