Nicolas Barascud

Principal Data Scientist

Basel Metropolitan Area Switzerland
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Summary

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Nicolas Barascud is a Principal Data Scientist with 11 years of experience at the intersection of neuroscience, machine learning, and brain-computer interfaces. He co-founded NextMind to commercialize a wearable BCI and led research at Snap translating biosignals into real-time AR interactions, blending signal processing, time-series ML and neural architectures. Now at Doctolib, he brings deep expertise in biosignal decoding, audio ML and human-computer interaction to healthcare AI challenges. Trained as a neuroscientist with a PhD from UCL and advanced study in acoustics and theoretical physics, he combines rigorous academic research with product-driven engineering leadership. An understated thread through his career is shipping real-time systems that bridge lab-grade brain imaging insights with consumer-grade products.
code11 years of coding experience
job8 years of employment as a software developer
bookMaster's degree Acoustics Signal Processing and Computer Science, Master's degree Acoustics Signal Processing and Computer Science at IRCAM (Institute for Research and Coordination in Acoustics/Music)
bookMaster's Degree Theoretical Physics, Master's Degree Theoretical Physics at Paris-Sud University (Paris XI)
bookMaster's Degree Neurobiology and Neuroscience, Master's Degree Neurobiology and Neuroscience at Sorbonne University
bookUniversity College London
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Github Skills (146)

python10
language-server-protocol10
python-development10
qt10
signal-processing10
statistics10
editor10
denoising10
electron10
typescript10
neuroscience10
anaconda10
lazy-loading10
visual-studio-code10
visualization10

Programming languages (15)

C#C++CHolyCHTMLJupyter NotebookMATLABKotlin

Github contributions (5)

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nbara/mne-python

Apr 2017 - Jan 2020

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Contributions:77 pushes, 6 branches, 1 tag in 2 years 9 months
python
nbara/python-meegkit

Dec 2016 - Nov 2022

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
Contributions:7 releases, 28 reviews, 116 commits in 6 years
pythoneegmegdenoisingsignal-processing
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