Greg Benton
Software Engineer at Celonis
Hoboken, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolGreg Benton is a software engineer and machine learning PhD with nine years of experience building intelligent systems, currently focused on engineering at Celonis from Hoboken, NJ. His work bridges deep learning, Gaussian processes, recommender systems, and ML for cybersecurity, with research internships at Microsoft, Spotify, and quant modeling experience at J.P. Morgan. He has a strong math and statistics foundation (BS/MS Applied Math, PhD in Computer Science) and has translated research into practical systems such as podcast personalization and security models. Notably, his research has produced novel simulation methods for stochastic differential equations and published work on platform misuse detection, reflecting a blend of theoretical rigor and production-minded engineering.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at New York UniversityDoctor of Philosophy - PhD, Statistics, 4.0, Doctor of Philosophy - PhD, Statistics, 4.0 at Cornell UniversityBachelor of Science - BS, Applied Mathematics, 4.0, Bachelor of Science - BS, Applied Mathematics, 4.0 at University of Colorado Boulder
Github Skills (56)
pytorch9
python9
machine-learning9
natural-language-processing9
gaussian9
speech-recognition9
nlp9
transformer8
application8
deep-learning8
stochastic-processes8
bert8
tensorflow8
gaussian-processes8
transformers7
Programming languages (2)
Github contributions (5)
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
g-benton/loss-surface-simplexes
Feb 2021 - Sep 2021
Contributions:5 commits, 1 push, 1 comment in 6 months
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