Chris Stoafer
Staff Machine Learning Engineer at Indeed
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolChris Stoafer is a Staff Machine Learning Engineer in Seattle with 11 years of experience blending advanced physics research and production ML at companies including Indeed, The Walt Disney Company, Transfix, and Capital One. He holds a PhD in Plasma Physics from Columbia and has a proven track record of translating complex experimental diagnostics and signal-processing techniques into scalable data products and models. At Transfix he led data science efforts on logistics problems, and at Indeed he progressed from Senior Data Scientist to Staff ML Engineer driving production ML initiatives. Chris’s background in building multi-point diagnostics and bespoke analysis pipelines gives him a deep practical expertise in uncertainty quantification, time-series and spectral analysis that he brings to real-world ML systems. He combines rigorous academic training with hands-on engineering, making him adept at turning noisy, instrument-level data into robust, deployable solutions.
11 years of coding experience
12 years of employment as a software developer
California Polytechnic State University, San Luis ObispoDoctor of Philosophy (Ph.D.), Plasma Physics and Nuclear Fusion, Doctor of Philosophy (Ph.D.), Plasma Physics and Nuclear Fusion at Columbia University
German
Github Skills (37)
compilation10
data-science9
pandas9
probabilistic-programming9
manipulation9
python9
cpu9
pyro9
probabilistic9
diffraction9
mcmc9
bayesian-inference9
data-analysis9
frame9
data-structures9
Programming languages (2)
Github contributions (5)
cstoafer/boardroom
May 2016 - Aug 2017
Contributions:31 PRs, 29 pushes, 28 branches in 1 year 3 months
insiderstradestrading-bottrading
cstoafer/inductance-measurements
Oct 2014 - Feb 2015
Contributions:6 commits, 4 pushes in 3 months
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