Martin Aryee

Associate Professor

Boston, Massachusetts, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
bookM.Eng, Electronic Engineering, M.Eng, Electronic Engineering at Imperial College London
bookMSc, Neuroscience, MSc, Neuroscience at King's College London
bookDoctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at Harvard T.H. Chan School of Public Health
github-logo-circle

Github Skills (18)

preprocessing10
seq10
tracks10
sequencing10
bioinformatics10
shiny9
pipeline9
cloud-computing8
3d7
data-analysis6
r4
file-format4
python3
package3
docker2

Programming languages (5)

C++RHTMLWDLPython

Github contributions (5)

github-logo-circle
aryeelab/nanopore-tools

Apr 2019 - Feb 2024

Tools for Oxford Nanopore
Contributions:3 releases, 2 PRs, 126 pushes in 4 years 10 months
oxford-nanoporenanoporeoxford
aryeelab/umi

Jan 2015 - May 2017

Preprocessing tools for unique molecular index (UMI) sequencing reads
Contributions:2 releases, 29 commits, 5 PRs in 2 years 4 months
preprocessingsequencing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial