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.
11 years of coding experience
8 years of employment as a software developer
Master'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)
Master's Degree Theoretical Physics, Master's Degree Theoretical Physics at Paris-Sud University (Paris XI)
Master's Degree Neurobiology and Neuroscience, Master's Degree Neurobiology and Neuroscience at Sorbonne University
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
Contributions:7 releases, 28 reviews, 116 commits in 6 years
pythoneegmegdenoisingsignal-processing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.