From fluorescence-guided resection to connectomics and surgical corridor planning, we bring computation into the operating theatre to make brain surgery safer, more precise and more personalised.

Computational Neurosurgery is the founding vision of the lab, the first of its kind in Australia, and it sits at the point where computational science meets the operating theatre. We develop tools that help neurosurgeons see more, plan better and operate more safely, translating data and algorithms into decisions made at the bedside and on the table. Our work spans intraoperative guidance, including fluorescence-guided resection; physics-based and computational planning of surgical corridors that minimise disruption to eloquent tissue; and connectomics approaches that map the brain's networks to inform pre- and intra-operative decisions. Across these, the goal is the same: to reduce risk and improve outcomes by giving surgeons quantitative, patient-specific information. The lab also leads on the responsible foundations of this field. As corresponding contributors to the Declaration of Sydney, a framework for the ethical use of AI in neurosurgery, we work to ensure that computational neurosurgery advances safely, transparently and in the patient's interest.