Rémy Joseph is a manager and data scientist based in Copenhagen with a decade of experience applying deep learning and advanced image-processing techniques to both astrophysics and defense-grade radar systems. He transitioned from postdoctoral research on LSST and strong gravitational lensing at Princeton and EPFL to building ML solutions at Terma that enhance radar imagery and extract maritime intelligence in the Baltic. His academic work—PhD-level expertise in PSF estimation, deblending and inverse problems—directly informs practical pipelines for fusing multi-resolution sensor data. Curious by nature, he maintains active ties to JWST, Euclid and Rubin Observatory collaborations, bringing a research-driven mindset to operational product delivery.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng Telecommunications Engineering, Master of Engineering - MEng Telecommunications Engineering at IMT Atlantique
Doctor of Philosophy - PhD Astrophysics, Doctor of Philosophy - PhD Astrophysics at EPFL
A repository of notebooks that show the comparison between the resampling schemes as implemented in galsim and scarlet. This repo can be used to reproduce the figures of Joseph et al. 2020
Contributions:1 release, 41 commits, 2 PRs in 1 year 3 months
SLIT is a python code that provides a method for invertion of lensed images in the frame of strong gravitational lensing
Contributions:4 pushes, 2 branches, 3 comments in 2 years 8 months
python-codepythonframegravitationalmethod
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