Liam Abbott

Founder, Engineer at Bedrock Bio

Boston, Massachusetts, United States
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Summary

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Senior
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Liam Abbott is a founder and engineer with 11 years of experience building AI/ML-driven data platforms for computational biology and drug discovery from Boston. He combines applied statistics (M.S., University of Michigan) and a strong computational-biology background from roles at Broad Institute, Indigo, and the Gates Medical Research Institute to translate research workflows into production systems. As Founder at Bedrock Bio he’s focused on an AI-enabled data platform built for scientists and agents, having previously led data-engineering and principal engineering efforts at Valo and Arena BioWorks. Liam’s profile blends hands-on model and data engineering with domain fluency in bioinformatics, and he has a track record of shipping tools that bridge research and product. An uncommon thread in his career is the mix of quantitative finance training (CFA Level I) and formal stats education, which informs pragmatic, measurement-driven product decisions.
code11 years of coding experience
job7 years of employment as a software developer
bookCIEE, Central European Studies Program, CIEE, Central European Studies Program at Budapesti Corvinus Egyetem
bookBachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Williams College
bookDiploma, Diploma at Williston Northampton School
bookPassed Level 1 of the CFA exam in December 2012., Passed Level 1 of the CFA exam in December 2012. at CFA Institute
bookMaster of Science (M.S.), Applied Statistics, Master of Science (M.S.), Applied Statistics at University of Michigan
languagesEnglish
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Github Skills (38)

genetics10
gwas10
bioinformatics10
genomics10
hail9
dataframe9
python9
dataframes9
google-cloud-dataproc7
cloud-native7
nextflow5
reproducible-science5
slurm5
reproducible-research5
singularity4

Programming languages (6)

CSSScalaHTMLJupyter NotebookGroovyPython

Github contributions (5)

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Contributions:9 PRs, 36 pushes, 5 branches in 4 years
liameabbott/hail

Apr 2017 - Dec 2019

Scalable genetic data analysis.
Contributions:206 pushes, 43 branches in 2 years 8 months
data-analysis
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