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.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at New York University
Doctor of Philosophy - PhD, Statistics, 4.0, Doctor of Philosophy - PhD, Statistics, 4.0 at Cornell University
Bachelor of Science - BS, Applied Mathematics, 4.0, Bachelor of Science - BS, Applied Mathematics, 4.0 at University of Colorado Boulder
Contributions:5 commits, 1 push, 1 comment in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.