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.
2025-09-25: Michael is a co-author of the article titled "A pan-cancer compendium of 1,294 plasma cell-free DNA methylomes and fragmentomes" that has been accepted by Nature Cancer.
2025-09-05: Michael is a speaker and facilitator at the Early Career Researcher Pre-TMM event, part of the Till & McCulloch Meetings (TMM2025), taking place in Ottawa, ON, November 2, 2025.