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.
2024-01-01: Yahan Zhang joined the Hoffman lab as a PhD student.
2023-10-27: Michael is a member of PRiME – Precision Medicine Initiative that was established at the University of Toronto to align research efforts in the area of Precision Medicine
2023-11-06: Eric releases Genomedata 1.7.2
2023-10-05: Michael is an invited speaker to present his talk "Identifying transcription factor binding using open chromatin, transcriptome, and methylation data" at the University of Maryland, College Park MD, on November 6, 2023.