Greg Benton

Software Engineer at Celonis

Hoboken, New Jersey, United States
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Summary

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Senior
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Top School
Greg Benton is a software engineer with 8 years of experience, currently solving scalable ML problems at Celonis. A machine learning PhD with a deep math and statistics foundation, he has researched deep learning, Gaussian processes, and recommendation systems, applying them to cybersecurity challenges. His career blends academia and industry, with internships at Spotify (personalization and misuse detection), Microsoft (DL/NLP for security), and JP Morgan (quantitative modeling) before joining Celonis. He holds a PhD in Statistics from Cornell and a PhD in Computer Science from NYU, along with a MS and BS in Applied Mathematics from the University of Colorado Boulder, reflecting a rigorous, multi-disciplinary training. Based in Hoboken, he brings a hands-on, production-focused mindset to turning advanced ML ideas into reliable software systems at scale. Notably, his work spans both optimization for pricing models and user-centric recommendations, indicating a rare ability to connect theory with user impact.
code8 years of coding experience
bookDoctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at New York University
bookDoctor of Philosophy - PhD, Statistics, 4.0, Doctor of Philosophy - PhD, Statistics, 4.0 at Cornell University
bookBachelor of Science - BS, Applied Mathematics, 4.0, Bachelor of Science - BS, Applied Mathematics, 4.0 at University of Colorado Boulder
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Github Skills (61)

pytorch9
python9
machine-learning9
natural-language-processing9
gaussian9
nlp9
speech-recognition9
transformer8
application8
deep-learning8
stochastic-processes8
bert8
tensorflow8
gaussian-processes8
transformers7

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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g-benton/hessian-eff-dim

Nov 2019 - Jan 2022

Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
Contributions:122 commits, 5 pushes, 2 comments in 2 years 2 months
dimensionalityeffectiveneural-networksparametermachine-learning
Contributions:5 commits, 1 push, 1 comment in 6 months
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