Gereon Elvers

Hello, I'm Gereon.

I work on non-invasive brain-computer interfaces, currently as an Encode: AI for Science fellow and with the Parker Jones Neural Processing Lab in Oxford. Before that: Information Systems at TU Munich. Nice to meet you!

Gereon Elvers

Stuff I'm doing:

People I work(ed) with:

  • Encode: AI for Science
    Encode: AI for Science2026 – Present
    Fellow

    A one-year fellowship backed by Pillar VC and powered by ARIA, the UK's Advanced Research and Invention Agency. I joined in 2026.

  • Parker Jones Neural Processing Lab
    Visiting Researcher

    After initially joining remotely in October 2024, I joined the PNPL (pronounced 🍍) in Oxford in person as a visiting researcher between May 2025 and October 2025. Since then, we're back to collaborating remotely. Besides the LibriBrain competition, I am working on early-stage practical use cases for non-invasive speech-BCIs under the supervision of Oiwi Parker Jones.

  • Cyber-Human Lab
    Cyber-Human Lab2024 – 2025
    Visiting Postgraduate Student

    Under the supervision of Dr. Thomas Bohné and Dr. Sławomir Tadeja, I completed my Master's Thesis on the collaboration dynamics of industrial AR joint task execution at the CHL in Cambridge.

  • SelectCode
    SelectCode2022 – 2025
    Working Student

    From March 2022 until the end of my studies in 2025, I was a working student at SelectCode. After co-leading the SQlab Profiler team, I helped build meinGPT and scale it from 0 to 15,000 active users.

  • Manage and More
    Manage and More2024 – 2025
    Alumnus

    From April 2024 to 2025, I was part of the 41st generation of Manage and More, the entrepreneurial scholarship offered by UnternehmerTUM.

  • Bavarian EliteAcademy
    Alumnus

    In 2021, I became part of the 23rd class of the leadership education program offered by the Bavarian EliteAcademy. In late 2023, I completed the program and joined the alumni network.

  • German Academic Scholarship Foundation
    Alumnus

    From 2019 until the end of my Master's in 2025, I was a scholarship recipient of the German Academic Scholarship Foundation. The scholarship was renewed for my Master's in 2021.

  • TU Investment Club
    TU Investment Club2019 – 2024
    Analyst & Head of IT

    The TU Investment Club is a non-profit student organization dedicated to improving students financial literacy. I joined in 2019, and was Head of IT from 2022 to early 2024.

Publications:

  • Gereon Elvers, Gilad Landau, Oiwi Parker Jones

    NeurIPS 2025 Data on the Brain & Mind WorkshoparXiv:2510.21038

    Non-invasive brain-computer interfaces (BCIs) are beginning to benefit from large, public benchmarks. However, current benchmarks target relatively simple, foundational tasks like Speech Detection and Phoneme Classification, while application-ready results on tasks like Brain-to-Text remain elusive. We propose Keyword Spotting (KWS) as a practically applicable, privacy-aware intermediate task. Using the deep 52-hour, within-subject LibriBrain corpus, we provide standardized train/validation/test splits for reproducible benchmarking, and adopt an evaluation protocol tailored to extreme class imbalance.

    View paper
  • Miran Özdogan, Gilad Landau, Gereon Elvers, Dulhan Jayalath, Pratik Somaiya, Francesco Mantegna, Mark Woolrich, Oiwi Parker Jones

    NeurIPS 2025 Datasets & Benchmarks TrackarXiv:2506.02098

    LibriBrain represents the largest single-subject MEG dataset to date for speech decoding, with over 50 hours of recordings -- 5× larger than the next comparable dataset and 50× larger than most. This unprecedented 'depth' of within-subject data enables exploration of neural representations at a scale previously unavailable with non-invasive methods. LibriBrain comprises high-quality MEG recordings together with detailed annotations from a single participant listening to naturalistic spoken English, covering nearly the full Sherlock Holmes canon. Designed to support advances in neural decoding, LibriBrain comes with a Python library for streamlined integration with deep learning frameworks, standard data splits for reproducibility, and baseline results for three foundational decoding tasks: speech detection, phoneme classification, and word classification.

    View paper
  • Gilad Landau, Miran Özdogan, Gereon Elvers, Francesco Mantegna, Pratik Somaiya, Dulhan Jayalath, Luisa Kurth, Teyun Kwon, Brendan Shillingford, Greg Farquhar, Minqi Jiang, Karim Jerbi, Hamza Abdelhedi, Yorguin Mantilla Ramos, Caglar Gulcehre, Mark Woolrich, Natalie Voets, Oiwi Parker Jones

    NeurIPS 2025 Competition TrackarXiv:2506.10165

    The advance of speech decoding from non-invasive brain data holds the potential for profound societal impact. Among its most promising applications is the restoration of communication to paralysed individuals affected by speech deficits such as dysarthria, without the need for high-risk surgical interventions. The ultimate aim of the 2025 PNPL competition is to produce the conditions for an "ImageNet moment" or breakthrough in non-invasive neural decoding, by harnessing the collective power of the machine learning community.

    View paper

Other stuff I've done:

Let's Talk!

I'd love to hear from you.