Who is Bruno?

I am a Research Scientist at Yneuro (France 🇫🇷) and (Honorary) Research Associate at the University of California, San Diego (USA 🇺🇸). I obtained my PhD in Computer Science from Paris-Saclay University (France 🇫🇷) and Federal University of ABC (Brazil 🇧🇷), advised by Professors Sylvain Chevallier, Marie-Constance Corsi and Raphael Y. de Camargo.

Research Interests

My current research interests include Learning Representation from the time series (Decoding, Generating and Transferring knowledge), Brain-Computer Interfaces, Machine Learning for brain decoding, Benchmark, and Riemannian Geometry (mostly Symmetric Positive Definite Neural Networks - SPDNets).

Open Source Projects

I advocate for open source as the basis of reproducible science, while occasionally working with closed code. I lead the widely used Python libraries Braindecode and MOABB, and I collaborate with related open-source projects like MNE-Python, MONAI, MONAI Generative, and SpeechBrain.

From libraries to open datasets — a few of the things I build, organize, and maintain (full activity on GitHub):

Libraries & infrastructure

Community Involvement

During my PhD, I collaborated with research groups across the US (San Diego, San Francisco, Washington), UK, Ireland, Germany, Italy, Netherlands, Canada (Waterloo, MILA), Brazil (Sao Paulo), and France. Those collaborations turned into more than 16 publications (full/short papers, reports, abstracts), all listed on Google Scholar. I particularly enjoyed the self-contained, code-oriented projects 🧠⚙️. For academic cooperation, contact me via email or LinkedIn.

I organized the Braindecode Code-Sprint in the European summer of 2023, co-organized the workshop Designing Brain-Computer Interfaces from Theory to Real-Life Scenarios at the Graz BCI 2024 conference, and led the Special Session on Decoding the Brain Time Series at IEEE MLSP 2025.

I review for machine learning conferences and journals: NeurIPS (twice), ICLR, ICML, NeuroImage, Imaging Neuroscience, the Journal of Machine Learning Research (JMLR), and the Learning from Time Series for Health workshop at ICLR.

🗺️ Journey

🔬 Featured Manuscript

EEG representation learning

Learning aligned EEG representations with subject-specific encoders

Bruna J. Lopes, Gabriel Schwartz, Sylvain Chevallier, Raphael Y. de Camargo, and Bruno Aristimunha

Subject-specific encoders can internalise part of the alignment role usually handled by Euclidean Alignment. Cross-subject decoding performance holds, and head selection becomes the main remaining bottleneck.

Read PDF Open figure

🧭 Research Overview

Open standalone figure

📝 Publications (Full List)

📖 Education

💻 Work Experience

👥 Mentorship

Students I was lucky to work with and mentor:

• Léo Burgund

  Master student → Yneuro

  Université Paris-Saclay (M2 Mathematics & AI), now Machine Learning Researcher at Yneuro.

• Tom Mariani

  Master student → Yneuro

  MVA, ENS Paris-Saclay / Mines, now Research Scientist at Yneuro.

• Aman Jaiswal

  Master student

  UC San Diego, MS in Computer Science.

• Kuntal Kokate

  Master student

  UC San Diego, MS in Machine Learning & Data Science (ECE).

• Jose Mauricio

  Master student

  Federal University of ABC, Computer Science.

• Taha Habib

  Undergrad → Master

  Université Paris-Saclay, now a master student.

• Gustavo H. Rodrigues

  Undergrad → Master

  Universidade de São Paulo (USP), now a master student at USP.

• Bruna Junqueira

  Undergrad → Master

  USP, now in the Mathématiques, Vision, Apprentissage master at Université Paris-Saclay.

• Alexandre Janoni

  Undergrad → Industry

  Federal University of ABC, now at Hospital Albert Einstein.