Daniel Howrigan
Group Lead at Massachusetts General Hospital
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDaniel Howrigan is a data group leader and statistical geneticist with 11 years of experience directing large-scale genomic analyses and data management at Massachusetts General Hospital. As Group Lead in the Neale Lab, he specializes in integrating and curating vast sequencing and array datasets, developing statistical methods, and turning complex results into clear visualizations and publications. His background—PhD in Psychiatric Genetics and prior work on GWAS QC, autozygosity mapping, and simulation—underpins a practical blend of methodological rigor and collaborative consortium-scale science. Known for bridging hands-on analysis with team leadership, he routinely coordinates interdisciplinary projects that translate deep genomic data into actionable scientific insights.
11 years of coding experience
BA, Physical Anthropology, BA, Physical Anthropology at UC Santa BarbaraPhD, Psychiatric Genetics, PhD, Psychiatric Genetics at University of Colorado BoulderMA, Psychology, MA, Psychology at California State University-Long Beach
Github Skills (12)
gwas10
genetics7
genomics7
bioinformatics6
hail5
dataframes4
python4
dataframe3
google-cloud-dataproc1
cloud-native1
pipeline1
pipeline-framework1
Programming languages (3)
Github contributions (5)
howrigan/array_CNV_analysis
Jun 2015 - Nov 2016
Contributions:22 commits, 20 pushes, 1 branch in 1 year 5 months
Nealelab/UK_Biobank_GWAS
Aug 2017 - Aug 2021
Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release
Contributions:1 release, 52 commits, 3 PRs in 4 years 1 month
gwas
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.