Victor Delvigne
DT Lead AI Solutions & Multimodal AI at UCB
Mons, Hainaut, Belgium
Summary
👤
Senior🎓
Top SchoolVictor Delvigne is an AI transformation leader and PhD-trained biomedical signal processing expert with eight years of hands-on experience building regulated, production-grade AI in life sciences and healthcare. He has led multimodal AI and MLOps initiatives at Takeda—deploying sitewide RAG assistants, GxP-compliant CI/CD and drift-detection pipelines, and computer vision quality solutions—and now drives global AI strategy and ethical adoption at UCB. Comfortable bridging research and product, Victor has a strong academic foundation in EEG and self-supervised learning from international research stints and a PhD focused on attention in VR-based child studies. He excels at turning complex biomedical signals into operational AI that delivers measurable business and patient-impact while maintaining auditability and regulatory rigor.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at ISIA LAB - UMONSMaster's degree, Electrical Engineering, Master's degree, Electrical Engineering at Faculté Polytechnique de Mons
Dutch, English, French
Github Skills (8)
database5
python5
imaging4
diffusion-mri3
hardware2
pulseaudio2
convex-optimization2
stereo2
Programming languages (4)
Github contributions (5)
numediart/eeg_unicorn_basics
Oct 2021 - Jan 2022
Repository showing the basics to register, plot and create a first database with the Unicorn Hybrid Black EEG recorder in python.
Contributions:34 commits, 22 pushes, 1 branch in 3 months
databasepython
numediart/Attention-EEG
Jun 2020 - Aug 2021
Contributions:22 commits, 15 pushes, 2 comments in 1 year 1 month
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