Ryo Segawa

Ryo Segawa received his Bachelor of Engineering from Chiba University (Japan), with his work on Systems Engineering and reinforcement learning. He obtained his Master of Science degree with Distinction in Advanced Neuroimaging from University College London (UCL; The UK). His research at UCL focused on the relationship between antidepressant discontinuation and functional activity of the amygdala to predict relapse of depression. He worked as a Researcher at the German Primate Centre's Cognitive Neurology Group and Decision and Awareness Group, supported by the Marie Skłodowska-Curie Actions (MSCA) grant from the European Union. During this period, he was studying conscious perception in macaques and led human psychophysical experiments investigating conscious perceptual switches.

He has been pursuing his PhD in Biomedical Engineering at Ghent University's Department of Information Technology (INTEC). His current research focuses on computational modelling of ultrasound neuromodulation for the treatment of focal epilepsy, under the supervision of Prof Thomas Tarnaud and Prof Emmeric Tanghe.

His core interests lie in building biologically plausible artificial neural network models and their functional implementation, which he approaches through computational modelling and practical data.