Arnault Caillet

Arnault Caillet

CSO @ Yneuro
Neuro-biometric authentication (Neuro ID®)

Honorary Research Officer @ Imperial College London
PhD in Computational Neuroscience

Last updated on March 09, 2026

Who is Arnault?

My Current Activities

I am the Chief Scientific Officer and Founding Scientist of YneuroYneuro. There, I lead and actively contribute (with my amazing team) to scientific R&D, driving our proprietary and patented neuro-biometric authentication technology, Neuro ID®.

I’m also an Honorary Research Officer at Imperial College LondonImperial College London and a Visiting Researcher at Université de NantesUniversité de Nantes, where I co-supervise PhD students and collaborate on projects in motor control and muscle adaptation.

My Background

I’m a scientific researcher with six years of academic research experience in London 🇬🇧, specializing in the decoding of neurophysiological signals and the application of machine learning and deep learning to brain and muscle activity analysis.

During my PhD in computational neuroscience and biomechanical engineering at Imperial College London, and later as a Research Associate in Prof. Farina’s Neuromechanics and Rehabilitation Technology research group, I contributed to three ERC projects 🇪🇺 (Natural BionicS, NISNEM, HybridNeuro) focused on the computational integration of bionic limbs through spinal interfacing.
My academic work has resulted in twelve open-source publications (six as first author) in top journals (e.g., IEEE RBME, eLife x2) and ML conferences (e.g., NeurIPS x2), covering topics such as EEG-EMG coherence, high-density EMG capture and analysis, EMG decoding, motor control, motor unit physiology, and computational neuro-musculoskeletal modeling.

I hold dual Master’s (MSc) degrees - General Engineering (École Centrale de LyonÉcole Centrale de Lyon) and Structural Engineering (Imperial College LondonImperial College London).

Let’s Collaborate!

Let’s connect and build together! I’m a strong advocate for collaboration and open discussion. Whether for academic projects, industrial partnerships, media coverage, or simply to talk science, feel free to reach me by email or on LinkedIn. For in-person chats (or spontaneous teas ☕), I’m usually at Station F (Paris). I was recently at NeurIPS 2025 and CES 2026. Next stops: ICASSP 2026 (Spain), Nexus 2026 (Luxembourg) and VivaTech 2026 (Paris) !

About Yneuro

🚀 We’re hiring!

At the intersection of neurotech and AI, Yneuro builds secure, privacy-preserving neuro-biometric authentication systems, redefining how we connect identity and cognition in the digital age of head-wearables.

My scientific R&D team unites experts across neuroscience and AI, and we’re scaling!
If you’re an AI scientist, neuroscientist, software engineer, data or biomedical engineer (with or without EEG experience), feel free to reach out via email or LinkedIn and join us! Let’s build!

We have an open-source internship position open to help maintain & grow Braindecode. More details here!

🏅 Our public achievements at Yneuro

Developed from scratch with my associate Thomas Semah, our flagship product Neuro ID® has won multiple prestigious awards at major international tech venues, including 🇫🇷 VivaTech 2024, 🇯🇵 CEATEC 2024, 🇫🇷 French AI Summit 2025, 🇱🇺 NEXUS 2025, 🇵🇹 Unicorn Summit 2025, and 🇺🇸 CES 2026.

Neuro ID® has also been featured in major media outlets including:

You can follow our latest updates on the Yneuro LinkedIn page.

My role at Yneuro

As CSO, I bridge scientific research and real-world applications. I ensure product quality and validation, interface with clients and respond to their specs, drive IP strategy and patent filings, build partnerships with research institutions and industry, and act as the scientific spokesperson in direct interface with investors and stakeholders.

As EEG team lead, I work at the intersection of neuroscience and AI to redefine secure and personalized identity solutions.
I manage an amazing and constantly growing R&D team of PhD-level AI research scientists, ML Engineers, Data Engineers, Data scientists, EEG experts, domain adaptation experts, and data owners. I work hard to create the best possible conditions for my team to express their incredible talent and thrive together as a united group.

My technical scope includes machine learning infrastructure, large-scale and diverse EEG datasets, semi-automatic EEG data curation and preprocessing, domain adaptation, deep learning for EEG decoding, foundation models, and authentication benchmarks.

I am the lead contributor of the Neuro ID®’s public demos, unveilded at

I am also an active contributor to our development, particularly on AI and benchmarking topics. Below is a snapshot of my private GitHub activity (reflecting commits, code reviews, issues, and PRs): GitHub contributions

My other current activities

Beyond Yneuro, I’m an Honorary Research Officer at Imperial College LondonImperial College London, contributing to open-source efforts on large-scale high-density EMG datasets and advanced motor unit decomposition benchmarks (NeurIPS).
I also co-supervise a PhD student on subject- and muscle-specific motoneuron and motor unit modeling in vivo.

Also an Honorary Research Officer at Université de NantesUniversité de Nantes, I co-supervise another PhD project on computational neuromusculoskeletal modeling, focusing on muscle adaptation and injury prevention, which has resulted in four journal publications.

My philosophy

Whether public or proprietary, my priority is to deliver high-quality, transparent, and verifiable research with a product-driven mindset.
For instance, our flagship Neuro ID® demos have been publicly tested by over a thousand curious participants across major tech events, private showcases, and media coverage.
I also contribute to open-source research, including datasets and code — see my Open-Source Contributions section.

🏆 Awards & Recognition – Yneuro

Recent awards:

Also recognized as:

🎖 Personal Awards

  • 2023 – Best Poster Award, Neurophysiological Bases of Human Movement, The Physiological Society
  • 2023 – Unwin Prize (Runner-Up) for Best PhD Thesis, Imperial College London
  • 2022 – Prof. Pavlovic Award for Outstanding Research Performance, Imperial College London
  • 2021 – David Winter Young Investigator Award for Best Oral Presentation, 28th Congress of the International Society of Biomechanics
  • 2019 – Skempton Scholarship, Imperial College London
  • 2018 – Dixon Scholarship, Imperial College London
  • 2018 – Ronald Stewart Jenkins Memorial Prize for Excellence in Structural Engineering, Imperial College London
  • 2018 – Best Group Project Award in Conceptual Bridge Design, Imperial College London

🎓 Academic Supervision & Teaching

Research Supervision

  • 2024– — PhD Co-supervisor, Imperial College LondonImperial College London
  • 2023-2025 - PhD Supervisor, Dr. Titouan Morin, “Quantification of internal muscular training load: toward prediction and optimization of muscular adaptations”, Université de NantesUniversité de Nantes
  • 2022–2025 — MSc Project Co-supervisor (6 MSc theses), Imperial College LondonImperial College London
    • Topics: neuromuscular modelling, muscle force estimation, joint torque prediction, and computational motor control
  • 2021 — Internship Co-supervisor, Imperial College LondonImperial College London
    • Project: Automatic generation of long bone volumes using Statistical Shape Models

Teaching, Mentoring & Workshops

  • 2026 - Show & Tell Demos, “Real-Time Continuous EEG Authentication: Streaming Neural Biometrics”, ICASSP 🇪🇸
  • 2025 - Workshop, “Neuro ID® : Real-Time EEG-Based Continuous Authentication”, NeurIPS 🇺🇸
  • 2023–2024 — University Coach, University of Wisconsin–Madison 🇺🇸 (BSc Computer Science)
  • 2023-2024 — Workshops & Webinars on EMG-driven neuromusculoskeletal modelling, musculoskeletal simulations, and OpenSim methods at ERC HybridNeuro, ERC Natural BionicS, and the Summer School on Neurorehabilitation 🇪🇺
  • 2020–2022 — Graduate Teaching Assistant, Imperial College London 🇬🇧
    • Courses: Structural Mechanics 2 (BSc), Structural Analysis (MSc)
  • 2017–2024 — Private Tutor (Mathematics, Physics, Chemistry, CS) 🇬🇧🇫🇷🇭🇰🇺🇸
    • Taught A-level students at Lycée Charles de Gaulle (London), Lycée Jeannine Manuel (London), and Lycée Jean-Pierre Vernant (Paris) - among others
  • 2016–2017 — Lecturer, École Centrale de Lyon 🇫🇷
    • Course: Structural Mechanics (BSc level)

📖 Patents (Public)

  • Caillet A.H., Shtarbanov A., Semah T. (2025).
    Adaptable Neurophysiological Biometric Authentication System and Method.
    Patent No. WO2025219294 – Filing No. WO2025EP60157 (2025/04/11) – Published 2025/10/22.

  • Caillet A.H., Lacourpaille L., Hug F., Avrillon S. (2025).
    Method for Determining an Internal Muscle Load, and Corresponding Device and Program.
    Patent No. WO2025021987 – Filing No. WO2024EP71303 (2024/07/26) – Published 2025/01/31.

📖 Publications

  • Mamidanna P., Klotz T., Chalatsis D., Grison A., Mendez Guerra I., Ma S., Caillet A.H., Avrillon S., Rohlén R., Farina D. (2025).
    MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition. NeurIPS 2025.

  • Caillet A.H., Phillips A.T., Carty C., Farina D., Modenese L. (2025).
    Hill-Type Models of Skeletal Muscle and Neuromuscular Actuators: A Systematic Review. IEEE Reviews in Biomedical Engineering (IF: 15).

  • Morin T., Caillet A.H., Nordez A., Doguet V., Lacourpaille L. (2025).
    Robustness of hamstring muscle activation strategies following selective hypertrophy induced by Nordic hamstring curl and stiff-leg deadlift exercises. Journal of Applied Physiology, 139(1), 296–307 (IF: 4).

  • Morin T., Doguet V., Nordez A., Caillet A.H., Lacourpaille L. (2025).
    Minimal Role of Hamstring Hypertrophy in Strength Transfer Between Nordic Hamstring and Stiff-Leg Deadlift: A Blinded Randomized Controlled Trial. Journal of Strength & Conditioning Research, 10–1519 (IF: 3).

  • Ma S., Hu B., Jia T., Clarke A.K., Zicher B., Caillet A.H., … & Principe J.C. (2024).
    Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios. NeurIPS 2024.

  • Caillet A.H., Phillips A.T., Modenese L., Farina D. (2024).
    NeuroMechanics: Electrophysiological and Computational Methods to Accurately Estimate the Neural Drive to Muscles in Humans In Vivo. Journal of Electromyography and Kinesiology, 76, 102873 (IF: 3).

  • Ma S., Guerra I.M., Caillet A.H., Zhao J., Clarke A.K., Maksymenko K., … & Farina D. (2024).
    NeuroMotion: Open-source Simulator with Neuromechanical and Deep Network Models to Generate Surface EMG signals during Voluntary Movement. PLOS Computational Biology, 20(7), e1012257 (IF: 5).

  • Avrillon S., Hug F., Enoka R., Caillet A.H., Farina D. (2024).
    The identification of extensive samples of motor units in human muscles reveals diverse effects of neuromodulatory inputs on rate coding. eLife, 13:RP97085 (IF: 8).

  • Caillet A.H., Avrillon S., Kundu A., Yu T., Phillips A.T.M., Modenese L., Farina D. (2023).
    Larger and denser: An optimal design for surface grids of EMG electrodes to identify greater and more representative samples of motor units. eNeuro, ENEURO.0064-23.2023 (IF: 4).

  • Caillet A.H., Phillips A.T.M., Farina D., Modenese L. (2023).
    Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy. PLOS Computational Biology, 19:e1011606 (IF: 5).

  • Caillet A.H., Phillips A.T., Farina D., Modenese L. (2022).
    Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling. PLOS Computational Biology, 18:e1010556 (IF: 5).

  • Caillet A.H., Phillips A.T., Farina D., Modenese L. (2022).
    Mathematical relationships between spinal motoneuron properties. eLife, 11:e76489 (IF: 8).

💻 Open-Source Contributions

Conference Abstracts & Invited Talks

  • Caillet, Mellot, Aristimunha, Delorme, Semah — Real-Time Continuous EEG Authentication: Streaming Neural Biometrics, ICASSP 2026, Barcelona 🇪🇸
  • Caillet, Mariani, Ploux, Mellot, Semah — Neuro ID®: Real-Time EEG-Based Continuous Authentication with Zero Interaction, NeurIPS 2025, San Diego 🇺🇸
  • Mamidanna, Klotz, Chalatsis, Grison, Mendez Guerra, Ma, Caillet, Avrillon, Rohlén, Farina — MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition, NeurIPS 2025, San Diego 🇺🇸
  • Morin, Doguet, Nordez, Caillet, Lacourpaille — Estimation of hamstring muscle forces during resistance training: Insight into structural muscle alterations and adaptations, ISB 2025, Stockholm 🇸🇪
  • Sgarzi, Meranger, Bolsterlee, Caillet, Farina, Lovell, Modenese — Do coupling activation and contraction dynamics improve the accuracy of Hill-type models?, ISB 2025, Stockholm 🇸🇪
  • Ma, Hu, Jia, Clarke, Zicher, Caillet, … & Principe — Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios, NeurIPS 2024, Vancouver 🇨🇦
  • Sgarzi, Meranger, Caillet, Farina, Bolsterlee, Modenese — Assessment of two muscle models with coupled activation and contraction dynamics, Australian Biomechanics Congress 2024, Melbourne 🇦🇺
  • Avrillon, Hug, Enoka, Caillet, Farina — The decoding of extensive samples of motor units in human muscles reveals the rate coding of entire motoneuron pools, ISEK 2024, Nagoya 🇯🇵
  • Morin, Nordez, Caillet, Lacourpaille — Prediction of the distribution of muscle damage among hamstring heads during Nordic hamstring and stiff-leg deadlift exercises, ISEK 2024, Nagoya 🇯🇵
  • Ma, Mendez, Caillet, Zhao, Clarke, Farina — Modelling surface EMG signals during voluntary movements with neuromechanical and deep network models, ISEK 2024, Nagoya 🇯🇵
  • Avrillon, Hug, Enoka, Caillet, Farina — The decoding of extensive samples of motor units in human muscles reveals the rate coding of entire motoneuron pools, International Motoneuron Meeting 2024, Bordeaux 🇫🇷
  • Caillet, Hodossy — Dynamic Simulation of Assistive Robotics and Human Motion, Summer School on Neurorehabilitation 2024, Baiona 🇪🇸
  • Caillet, Phillips, Farina, Modenese — From experimental pools of discharging motor units to computational predictions of muscle force: a novel motoneuron-driven neuromechanical muscle model, NBHM 2023, London 🇬🇧
  • Avrillon, Caillet, Zicher, Grison, Kundu, Hug, Farina — The behaviour of an exhaustive sample of motor units revealed by arrays of surface and intramuscular EMG electrodes, NCM 2023, Victoria 🇨🇦
  • Caillet, Kashiwakura, Hodossy — Dynamic Simulation of Assistive Robotics and Human Motion, Summer School on Neurorehabilitation 2023, Baiona 🇪🇸
  • Caillet, Sagastegui, Kashiwakura, Ferrante — Human-Machine Interfacing and Mechatronics for Myoelectric Prosthetics, Summer School on Neurorehabilitation 2023, Baiona 🇪🇸
  • Caillet, Phillips, Farina, Modenese — Prediction of the firing behaviour of the motoneuron population for motoneuron-driven muscle modelling, WCB 2022, Taipei 🇹🇼
  • Modenese, Caillet, Phillips, Farina — From spinal cord neural signals to muscle contraction: the next generation of neuromechanical muscle models is motoneuron-driven, WCB 2022, Taipei 🇹🇼
  • Caillet, Phillips, Farina, Modenese — A novel neuromechanical model for predicting muscle force from motoneuron spike trains, ESB 2022, Porto 🇵🇹
  • Caillet, Phillips, Del Vecchio, Farina, Modenese — Development of a high-density EMG-driven Hill-type muscle model, ISB 2021, Stockholm 🇸🇪
  • Caillet, Phillips, Carty, Farina, Modenese — Hill-type computational models of skeletal muscle-tendon actuators: a systematic review, ISB 2021, Stockholm 🇸🇪