Matthew Boggess
Machine Learning Engineer at Reddit, Inc.
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMatthew 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.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, Cognitive Science, Bachelor of Arts (B.A.), Computer Science, Cognitive Science at University of California, BerkeleyMaster of Science - MS, Statistics, Master of Science - MS, Statistics at Stanford University
Github Skills (24)
visualization10
python10
statistics10
neuroscience10
bayesian10
data-science9
data-structure9
preprocessing9
pandas9
machine-learning9
neuroimaging9
cross-validation9
data-analysis9
mne-python9
data-structures8
Programming languages (5)
Github contributions (5)
mattboggess/intedact
Jul 2020 - Dec 2022
Interactive EDA in your Jupyer notebook.
Contributions:2 releases, 141 commits, 46 PRs in 2 years 5 months
eda
mghneurotherapeutics/GalileoTACS
Nov 2017 - Nov 2018
Analysis code for the closed loop TACS alpha cancellation project.
Contributions:1 PR, 10 pushes in 11 months
pythonclosedloopcancellationcode-analysis
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