Hoffman research group

Michael M. Hoffman

We develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.


  • Segway: semi-automated genomic annotation
  • Segtools: segmentation analysis and graphics
  • Genomedata: efficient storage and retrieval


  • Michael Hoffman
  • Davide Chicco
  • Eric Roberts
  • Coby Viner
  • Mehran Karimzadeh
  • Jai Sood
  • Mickael Mendez
  • Rachel Chan
  • Sarah Bi
  • Danielle Denisko
  • Julie Relatado


  • 2016-09-01: Davide is a member of the program committee of the International meeting on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2016), at University of Stirling, Scotland, United Kingdom.
  • 2016-05-30: Michael presents a talk on "Epigenomics" at the University of Toronto 2016 Summer Student Seminar Series.
  • 2016-05-18: Davide presented a talk on "Distal chromatin loop prediction with deep siamese neural networks", and Mehran presented a poster on "Transcription factor expression and its effects on binding site occupancy and motif preference" at GLBIO/CCBC 2016 at the University of Toronto.
  • 2016-05-17: Coby presented a flash talk and poster on "Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet", and Mickael presented a poster on "Semi-automated transcriptome annotation with SegRNA" at GLBIO/CCBC 2016 at the University of Toronto.
  • 2016-05-16: Michael is a program committee member on the Great Lakes Bioinformatics and Canadian Computational Biology Conference (GLBIO/CCBC), being hosted at the University of Toronto.
  • 2016-05-09: Sarah Bi and Danielle Denisko joined the lab as summer students.
  • News archive


  • Twitter: @michaelhoffman
  • LinkedIn: michaelmhoffman