Martin Aryee is an Associate Professor and computational biologist based in Boston, combining 11 years of experience developing statistical methods for genomics and genome engineering across Mass General, Dana-Farber, and the Broad Institute. Trained with a PhD in Biostatistics from Harvard and earlier degrees in neuroscience and electronic engineering from King's College and Imperial College, he bridges quantitative rigor with practical lab-scale genomics. He directs method development and teaching in statistical genetics at Harvard T.H. Chan School of Public Health while holding institute roles at Broad and Dana-Farber, translating cutting-edge algorithms into tools used by genomics researchers. His work sits at the intersection of statistics, software, and experimental design, emphasizing reproducible analysis pipelines for genome engineering datasets. Colleagues rely on him for both methodological innovation and clear pedagogy, and his lab’s presence across major Boston research centers highlights a rare combination of academic leadership and hands-on computational practice.
11 years of coding experience
M.Eng, Electronic Engineering, M.Eng, Electronic Engineering at Imperial College London
MSc, Neuroscience, MSc, Neuroscience at King's College London
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at Harvard T.H. Chan School of Public Health
Shiny app that integrates ChIA-PET and other epigenetic tracks
Contributions:48 commits, 40 pushes, 1 branch in 1 year 4 months
shiny-appshinychiatrackschia-pet
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