Jorne Laton

Jorne Laton is an Unpaid Guest Professor in Clinical Sciences and a postdoctoral researcher in Neuroprotection & Neuromodulation at Vrije Universiteit Brussel. His research focuses on analyzing neurophysiological data (EEG/MEG) to develop machine learning tools for diagnosing neurological disorders like Alzheimer’s, multiple sclerosis, and schizophrenia. He held postdoctoral positions at the University of Oxford (2017–2022) and currently leads projects on AI-driven clinical modeling and cognitive decline prediction.

• Education: PhD, MScEng
• Key Projects:
  • ANI419: Multimodal predictor for cognitive decline in mild cognitive impairment (2025–2026)
  • IOF3021: AI applications in neurology and psychiatry (2022–2026)
• Research Interests: EEG/MEG signal processing, machine learning for diagnosis, neurodegenerative disease biomarkers

His work emphasizes translating AI techniques into clinical practice, with recent contributions to federated learning frameworks for brain age modeling and EEG-based schizophrenia classification.