Thomas Eboli is a quantitative researcher and computational vision specialist with a PhD and a decade of experience developing high-impact image restoration and camera-pipeline solutions for both academia and industry. He combines deep mathematical expertise in signal processing, statistics and optimization with production-grade software skills in Python, C++ and CUDA to deliver real-world systems—ranging from law-compliant deblurring tools to real-time super-resolution for military optics. A postdoctoral background at ENS Paris-Saclay and visiting roles at Princeton and NYU underpin a publication record at CVPR, ECCV and SIGGRAPH and collaborations with defense and forensic partners. Now applying his research-driven approach to machine learning alpha at Capital Fund Management, he also brings curiosity about 3D vision and computational optics that informs novel simulator-driven workflows. An often-overlooked strength is his track record of turning closed-source industrial ideas into open-source reimplementations, bridging cutting-edge research with practical deployment.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Ecole normale supérieure
Master of Science - MS, MVA (Mathematics, Vision, Learning), Master of Science - MS, MVA (Mathematics, Vision, Learning) at École normale supérieure Paris-Saclay
Master of Science - MS, Signal processing, Master of Science - MS, Signal processing at Télécom Paris
Official implementation for the ECCV22 paper "Fast Two-step Blind Optical Aberration Correction".
Contributions:26 commits, 2 PRs, 10 pushes in 2 months
blindtwo-stepcorrectionoptical
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.