Matthew Boggess

Machine Learning Engineer at Reddit, Inc.

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Matthew Boggess is a machine learning engineer with 11 years of industry and research experience, currently applying production ML at Reddit after four years building recommendation and personalization systems at Nextdoor. He holds an M.S. in Statistics from Stanford and a B.A. in Computer Science and Cognitive Science from UC Berkeley, blending rigorous statistical training with practical engineering. His background spans academic research at Harvard Medical School/Mass General and Berkeley to data science internships, giving him a strong foundation in experimental design and healthcare-adjacent analytics. Comfortable moving models from prototype to scale, he favors interpretable approaches informed by cognitive and statistical perspectives. Based in the San Francisco Bay Area, he brings both research rigor and product-focused delivery to machine learning problems.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor of Arts (B.A.) Computer Science Cognitive Science, Bachelor of Arts (B.A.) Computer Science Cognitive Science at University of California, Berkeley
bookMaster of Science - MS Statistics, Master of Science - MS Statistics at Stanford University
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Github Skills (35)

visualization10
python10
statistics10
neuroscience10
bayesian10
neuroimaging10
exploratory9
data-science9
pandas9
manipulation9
machine-learning9
cross-validation9
repair9
bayesian-inference9
data-analysis9

Programming languages (4)

HolyCHTMLJupyter NotebookPython

Github contributions (5)

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mattboggess/intedact

Jul 2020 - Dec 2022

Interactive EDA in your Jupyer notebook.
Contributions:2 releases, 141 commits, 46 PRs in 2 years 5 months
pythonjupyter-notebookedajupyer-notebooknotebook
Analysis code for the closed loop TACS alpha cancellation project.
Contributions:1 PR, 10 pushes in 11 months
pythonclosedloopcancellationcode-analysis
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