Dr. Sam Gijsen

Sam Gijsen
My work focuses on applying machine learning to advance understanding and prediction in medical neuroscience and psychiatry. To do so, I am particularly interested in multimodal modeling to leverage diverse sources of information. Furthermore, I love to explore the novel options deep learning provides, both by enabling novel data fusion and unsupervised pretraining techniques. Besides helping us to generate scientific insight, I hope we can leverage machine learning to make considerably progress towards practical clinical applications.
Clinical neuroscience will benefit from deep learning's versatility rather than from raw scale and compute.
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Gijsen, S., & Ritter, K.

EEG-Language Modeling for Pathology Detection

Aug 11, 2025 | ICML 2025