Current Research Focus

My current research focuses on identifying neural correlates of consciousness by examining both human and artificial intelligence systems, using ultra-high-field functional magnetic resonance imaging (fMRI) within no-report paradigms. This innovative approach aims to uncover underlying similarities in conscious processing between artificial neural networks and the human brain.

Concurrently, I am advancing several projects that push the boundaries of neuroimaging and data interpretation. These include developing sophisticated MRI motion correction algorithms, implementing super-resolution techniques in medical imaging, precise brain segmentation, and the extraction of interpretable brain biomarkers from fMRI data. Each individual projects aims to contribute to a more profound scientific understanding of the brain’s intricate workings and the potential for AI applications in neuroscience and everyday clinical practice.

Recent Publications