Thomas Eboli

Quantitative Researcher

Paris, Ile-de-France
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Ecole normale supérieure
bookMaster of Science - MS, MVA (Mathematics, Vision, Learning), Master of Science - MS, MVA (Mathematics, Vision, Learning) at École normale supérieure Paris-Saclay
bookMaster of Science - MS, Signal processing, Master of Science - MS, Signal processing at Télécom Paris
languagesFrench, English, Spanish, Korean
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Github Skills (11)

super-resolution10
image-processing9
pytorch8
python8
cython7
numpy7
gpu6
ssim3
data-storage3
hdr2
exif1

Programming languages (3)

C++CythonPython

Github contributions (5)

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Implementation of the TIP'13 paper "Correction of Axial and Lateral Chromatic Aberration With False Color Filtering" by Joonyoung Chang, Hee Kang and Moon Gi Kang.
Contributions:20 commits, 9 pushes, 1 comment in 7 months
cythonimage-processingnumpy
teboli/CPCR

Jul 2020 - Oct 2020

Repository for ECCV2020 paper "End-to-end Interpretable Learning of Non-blind ImageDeblurring".
Contributions:21 commits, 9 pushes, 5 comments in 2 months
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