Lorin Crawford

Principal Researcher at Microsoft

Cambridge, 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
Lorin Crawford is a Principal Researcher at Microsoft with a decade of experience applying machine learning and AI to biomedicine, genetics, and genomics. He blends a strong academic pedigree—a PhD in Statistical Science from Duke and faculty roles as Assistant and Associate Professor of Biostatistics at Brown—with industry research leadership. His work bridges statistical genetics, topological data analysis, and computational molecular biology to extract biological insight from complex genomic data. At Microsoft he leads research translating advanced statistical methods into scalable tools for real-world biomedical problems. Known for combining rigorous theory with applied impact, he often leverages nontraditional mathematical tools (like TDA) to uncover signals missed by standard approaches. Based in Cambridge, MA, he brings both deep domain expertise and a track record of moving ideas from the lab into production-ready research.
code10 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Statistical Science, Doctor of Philosophy (Ph.D.) Statistical Science at Duke University
bookBachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at Clark Atlanta University
languagesEnglish
github-logo-circle

Github Skills (30)

genetics10
gwas10
variable-selection8
approximate8
simulations7
regression7
bayesian7
kernel6
statistical-genetics6
r-package6
julia5
rna-seq5
bayesian-statistics4
machine-learning4
statistics4

Programming languages (5)

JuliaRC++Jupyter NotebookPython

Github contributions (5)

github-logo-circle
lorinanthony/BAKR

Apr 2016 - Jan 2019

Contributions:49 commits, 1 PR, 48 pushes in 2 years 9 months
kernelregressionsimulationsbayesianapproximate
lorinanthony/MAPIT

Jul 2016 - Nov 2022

Code and Tutorials for Running the MArginal ePIstasis Test (MAPIT)
Contributions:52 commits, 54 pushes, 1 branch in 6 years 5 months
geneticsmarginalepistasislinear-mixed-modelsgwas-tools
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