Arne Van Den Kerchove

I am a 🧑‍🔬 biomedical engineer and researcher specializing in computational neuroscience, machine learning and neurotechnoloy. I am experienced in brain-computer interfacing methods and applications, machine learning for EEG and electrophysiology data, and real-time biosignal processing. My interdisciplinary background combines neuroscience, clinical research, software development and AI.

I'm currently contributing to the 🧠⚡ Brain-on-a-Chip project, a Mission Lucidity collaboration between VIB, KU Leuven, UZ Leuven and imec supported by the Chan-Zuckerberg Initiative. BoC grows neural tissue on high-density multi-electrode arrays to uncover the mechanisms behind Parkinson's disease.

Experience

• Postdoctoral researcher
  Electrophysiology and computational neuroscience
  VIB-KU Leuven Center for Neuroscience
  VIB Center for AI & Computational Biology
  current
• Postdoctoral researcher
  EEG for neurodegeneration and AAC
  KU Leuven Lab for Neuro- and Psychophysiology
  2025
• Project supervisor
  BCI and neurotechnology
  NeuroTech Leuven
  2021-2025
• Doctoral researcher
  Brain-computer interfaces
  KU Leuven Lab for Neuro- and Psychophysiology
  University of Lille CRIStAL
  2021-2024
• Teaching assistant
  Programming and algorithmic reasoning
  KU Leuven Faculty of Engineering Sciences
  2020
• Freelance software developer
  Full-stack web and application development

Education

• Ph.D. in Biomedical Sciences, KU Leuven, 2024
• Ph.D. in Control Science & Signal Processing, University of Lille, 2024
• M.Sc. in Computer Science, KU Leuven, 2020
• B.Sc. in Informatics, KU Leuven, 2017

Publications

• Van Dyck et al. (2026) 
  An open-source implementation of a closed-loop electrocorticographic brain-computer interface with Micromed, FieldTrip, and PsychoPy
• Mlinarič et al. (2026) 
  EEG-based classification of Alzheimer's disease and frontotemporal dementia using functional connectivity
• Van Den Kerchove et al. (2025) 
  Visual ERP-based brain-computer interface use with severe physical, speech and eye movement impairments: case studies
• Van Den Kerchove et al. (2025) 
  BTTDA: Block-Term Tensor Discriminant Analysis for Brain-Computer Interfacing
• Van Den Kerchove et al. (2025) 
  An event-related potential BCI speller using a wearable, single-channel EEG headset with electrodes on the forehead
• Van Den Kerchove (2024) 
  A visual Brain-Computer Interface for gaze-free communication (Ph.D. thesis)
• Van Den Kerchove et al. (2024) 
  Correcting for ERP latency jitter improves gaze-independent BCI decoding
• Van Den Kerchove et al. (2022) 
  Classification of event-related potentials with regularized spatiotemporal LCMV beamforming
• Libert et al. (2022) 
  Analytic beamformer transformation for transfer learning in motion-onset visual evoked potential decoding
Other manuscripts and presentations