Carl Kadie
Self Employed
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolCarl Kadie is a retired Principal Applied Researcher who spent 25 years at Microsoft and Microsoft Research applying machine learning to products from Office features to genomics and bioinformatics. He holds a PhD from UIUC and has a deep research footprint—55 publications including Nature and Science, a publication h-index of 41, and roughly 50 patents—yet now focuses on volunteer open-source work such as FaST-LMM and PySnpTools. Known for bridging rigorous graphical models and Bayesian reasoning with practical product engineering, he has led projects from spam-fighting ML to HIV vaccine design tools. Based in Redmond, he also writes and speaks about Python, Rust, probability and scientific programming, and brings an unusual Erdős–Bacon number anecdote that reflects a long interdisciplinary career.
11 years of coding experience
30 years of employment as a software developer
Woodruff H.S.PhD, Computer Science, PhD, Computer Science at University of Illinois Urbana-Champaign
Github Skills (142)
flash-player10
ffi10
statistical-genetics10
rust-lang10
plink10
genetic10
mixed-models10
rust10
reimplementation10
binding10
flash10
meta-analysis10
bed10
documentation10
newsletter10
Programming languages (11)
Github contributions (5)
CarlKCarlK/range-set-blaze
Mar 2023 - Dec 2024
Integer sets as fast, sorted, integer ranges with full set operations
Contributions:5 PRs, 396 pushes, 71 branches in 1 year 9 months
fastlmm/FaST-LMM
Feb 2015 - Dec 2022
Python version of Factored Spectrally Transformed Linear Mixed Models
Contributions:1 release, 668 commits, 4 PRs in 8 years
pythonpython-bindingsmachine-learninglinearlinear-mixed-models
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