Brahim Belaoucha
Principal Data Scientist
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolBrahim Belaoucha is a Principal Data Scientist based in Oslo with 11 years of experience applying machine learning, signal and image processing, and deep learning to domains ranging from brain-computer interfaces and medical imaging to robotics and human–machine interaction. He holds a PhD in Control and Signal Processing and has progressed from academic research roles at Inria and Université Côte d'Azur to industry positions at Cumulus Neuroscience, Ericsson, and Microsoft, where he now leads advanced data science efforts. His technical toolkit spans Python, C++, Matlab and applied work in MEG/EEG/MRI, 3D reconstruction and gesture recognition, enabling teams to translate complex neurotech and perception problems into production-ready models. Known for bridging rigorous research with product delivery, he has repeatedly moved novel signal-processing methods into scalable solutions for large organizations. Colleagues describe him as both analytically deep and practically focused, able to mentor engineers while driving cross-disciplinary projects. An atypical asset is his combination of hands-on robotics/BCI experience and enterprise ML leadership, which helps uncover application opportunities others might miss.
11 years of coding experience
10 years of employment as a software developer
Engineer's degree, Electrical and Electronics Engineering, Engineer's degree, Electrical and Electronics Engineering at The National Institute of Electrical and Electronic EngineeringMSc, Computational Biology and Biomedicine, MSc, Computational Biology and Biomedicine at Université Côte d'AzurDoctor of Philosophy (Ph.D.), Control and Signal Processing, Doctor of Philosophy (Ph.D.), Control and Signal Processing at INRIAMSc, Intelligent Systems and Robotics, MSc, Intelligent Systems and Robotics at Sorbonne University Pierre and Marie Curie Campus
Arabic, English, French
Github Skills (20)
inverse9
solver8
meta-learning8
feature-selection7
mri6
automated-machine-learning5
hyperparameter-tuning5
surface5
feature-engineering5
electrophysiology5
python5
cython4
automl4
machine-learning4
connectivity4
Programming languages (2)
Github contributions (5)
BBELAOUCHA/iSDR_p
Aug 2017 - Nov 2019
A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space
Contributions:84 commits, 14 PRs, 154 pushes in 2 years 2 months
solvereegproblemmultivariatemeg
BBELAOUCHA/iSDR_cython
Feb 2020 - Dec 2023
A cython implementation of ISDR brain source reconstruction from EEG/MEG data
Contributions:52 PRs, 139 pushes, 11 branches in 3 years 10 months
brainreconstructionneurosciencepythonmri
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