Andrei Bursuc
Deputy Scientific Director at Valeo
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolAndrei Bursuc is a research scientist and deputy scientific director at Valeo.ai with over a decade of experience advancing perception for assisted and autonomous driving through machine learning, deep learning and computer vision. He combines industrial R&D leadership with active academic engagement as an Inria research associate and recurring lecturer of Deep Learning courses at top French schools, translating foundational research into applied safety-critical systems. His current focus is on annotation-efficient foundation models and the reliability of deep nets—robustness, calibration and uncertainty estimation—areas critical for real-world deployment. Early years at Inria’s Willow and LinkMedia teams and contributions to course materials and notebooks reflect a strong blend of theoretical depth and practical pedagogy. Based in Paris, he bridges lab-grade innovation and production constraints, often prioritizing methods that reduce annotation needs while improving trustworthy model behavior.
11 years of coding experience
14 years of employment as a software developer
PhD Real time computing robotics and automation Information Technology, PhD Real time computing robotics and automation Information Technology at Mines Paris - PSLPOLITEHNICA București National University for Science and TechnologyColegiul National de Informatica "Spiru Haret" Suceava
English, French, Italian, Romanian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
html10
css10
basics9
learn-ruby-on-rails9
deep-learning9
user-manual9
Programming languages (12)
Github contributions (5)
dataflowr/notebooks
Oct 2018 - Feb 2021
code for deep learning courses
Role in this project:
Front-end Developer
Front-end DeveloperContributions:40 commits, 37 pushes in 2 years 4 months
Contributions summary:Andrei added slides for a course, specifically focusing on the technical aspects of the lecture on "Deep Learning at Safran: part 5". The committed changes focused on implementing slides using HTML and CSS. These changes likely involved structuring the content and layout of the presentation.
deep-learningpytorch
dataflowr/Project-age-estimation-pytorch
Feb 2021 - Mar 2022
PyTorch-based CNN implementation for estimating age from face images
Contributions:5 commits, 5 pushes, 2 comments in 1 year
pytorch
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