Philip Huebner
Natural Language Processing Engineer
Lehi, Utah, United States
Summary
👤
Senior🎓
Top SchoolPhilip Huebner is a Natural Language Processing Engineer with a decade of experience blending cognitive science and applied NLP to model how intelligent systems learn from complex, noisy data. He holds a PhD in Cognitive Psychology and Psycholinguistics and has translated doctoral research on information-theoretic language acquisition into production-focused NLP work at Pattern®. Philip’s background spans neural modeling, statistical learning, neuroimaging, and data science, reflecting a rare cross-disciplinary fluency from MRI analysis to large-scale language systems. He teaches programming, statistics, and cognitive science, bringing clarity to both research and engineering teams. Colleagues appreciate that he actively tracks state-of-the-art deep learning advances and pragmatically adapts emerging methods to probe fundamental questions about human and machine language.
10 years of coding experience
4 years of employment as a software developer
BS, Neuroscience, BS, Neuroscience at University of California, DavisDoctor of Philosophy - PhD, Cognitive Psychology and Psycholinguistics, Doctor of Philosophy - PhD, Cognitive Psychology and Psycholinguistics at University of Illinois Urbana-Champaign
English, German, French
Github Skills (34)
srl10
language-learning10
allennlp10
modeling10
machine-learning9
natural-language-processing9
semantic9
api9
nlp9
representations8
bert8
representation-learning8
tuple7
vocabulary7
lstm7
Programming languages (2)
Github contributions (5)
phueb/CHILDES-SRL
Sep 2019 - Jun 2021
Research code for generating semantic role labels for CHILDES
Contributions:129 commits, 1 PR, 117 pushes in 1 year 9 months
nlplanguage-learningsrlroleallennlp
phueb/TrainDSMs
Sep 2018 - Jun 2022
Contributions:126 commits, 336 pushes, 2 branches in 3 years 9 months
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