Open Source

I am an advocate for open science. Through my academic journey, I directly contribute datasets and code around motoneuron electrophysiology, cross-session/task high-density surface EMG, motor unit physiology and activity, and neuromuscular modelling.

I also push open-science initiatives through my dual role as CSO of Yneuro and Honorary Research Officer at Imperial College London: developing and maintaining code libraries, organizing open competitions, and building bridges between academia and industry.

I strongly believe that science progresses when academia and industry work hand in hand around shared tools, open benchmarks, and reusable resources on a large scale.

01

Open Challenges

I co-lead with Bruno Aristimunha the organization of the EEG/EMG Foundation Challenge 2026. The competition connects academic labs, open-source infrastructure, and industry research teams around EEG/EMG foundation models and domain shifts across subjects, sessions, emotions, context, and hardware. Yneuro is the lead organizer in collaboration with Inria, UCSD, and Meta, backed by AWS, with five tracks:

Track 1 - EEG-to-ImageMeta FAIR Brain & AI + Alljoined Track 2 - BCI DecodingInria LaBRI Track 3 - EEG to Sleep OnsetInteraXon Inc. Track 4 - EMG-to-TextMeta Reality Labs + Imperial Track 5 - Foundation TransferYneuro

02

Infrastructure

Supporting open-source libraries and benchmark platforms that make shared scientific progress easier to reproduce, maintain, and scale.

Braindecode

Building the Yneuro x Inria Paris-Saclay collaboration to contribute to, sponsor, and maintain Braindecode.

Library maintenanceSponsorshipNeural decoding

Codabench

Commissioning AWS and Deloitte to support the Codabench team at Paris-Saclay to scale the competition platform.

Library scalingBenchmarkCompetition

MNE-EMG

Initiating, with Pranav Mamidanna, a central Python package for EMG signal processing and analysis within the MNE-Python ecosystem.

Package developmentEMGMNE ecosystem