Clément Thorey
Senior Research Engineer at Outflier
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolClément Thorey is a Senior Research Engineer based in Paris with 11 years of technical experience and a PhD in geophysics, now focused on applied machine learning and computer vision for real-world robotics. He spent four years building and deploying greenhouse harvesting robots across the UK and currently applies cutting-edge research to industrial perception and automation at Outflier. His background blends strong numerical and scientific programming (Python, Fortran, C) with experience in ML model implementation and production engineering. Beyond field robotics he has contributed educational code for Stanford's CS231n assignments, indicating a solid grasp of CNN internals like backpropagation and batch normalization. Comfortable bridging research and product teams, he’s equally adept at data pipelines, vision models, and the experimental rigor from academic research. Colleagues describe him as a pragmatic problem-solver who translates complex physical systems into deployable ML solutions.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree, Geology/Earth Science, Master 2, Master’s Degree, Geology/Earth Science, Master 2 at Ecole normale supérieure de LyonDoctor of Philosophy (Ph.D.), PhD in Geophysics (Fluid Mechanics/Planetary Sciences), PhD, Doctor of Philosophy (Ph.D.), PhD in Geophysics (Fluid Mechanics/Planetary Sciences), PhD at Institut de Physique du Globe de ParisBachelor’s Degree, Mathematics and Computer Science, License 1 and 2, Bachelor’s Degree, Mathematics and Computer Science, License 1 and 2 at University Lille 1
English, Spanish, French
Github Skills (5)
neural-network10
machine-learning10
batch-normalization10
python10
backpropagation10
Programming languages (6)
Github contributions (5)
cthorey/CS231
Jan 2016 - Mar 2016
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Role in this project:
Back-end Developer
Back-end DeveloperContributions:41 commits, 30 pushes, 1 branch in 1 month
Contributions summary:Clément appears to be making corrections to the code assignments for a Stanford class on Convolutional Neural Networks. The commits involve modifications to layers.py and BatchNormalization.ipynb, indicating a focus on backpropagation and the implementation and validation of batch normalization layers within the context of neural network training. The user also merges branches and updates other assignment files, suggesting they are organizing and integrating various code components.
deep-learningrecognitionconvolutionalneural-networksvisual-recognition
cthorey/geocolab
Feb 2016 - Nov 2016
Contributions:163 pushes, 10 branches in 8 months
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