From Big Brain Data to Collaboration: Where Mental Health Meets Computer Science

This talk explores how large-scale brain and behavioural data can deepen our understanding of the human mind. We will examine the challenges inherent in such data, ranging from domain shifts and noise to label uncertainty, and discuss how advances in computer science, particularly in machine learning, can help address them. The session aims to spark dialogue on how mental health research and computational sciences can join forces to build robust, interpretable, and clinically meaningful models. I look forward to connecting and exchanging ideas on how we can truly join our brains for collaborative innovation.