Podium Student

I use machine learning and portable brain technology to investigate brain network dynamics in real-world settings, such as acute brain injury following head impact. Developing these methods is vital to enable both novel insights into processes involved during acute brain injury following head impact, and a potential low-cost, equitable tool (EEG) to detect and predict mild traumatic brain injury with increased objectivity.

Supervisor: Professor Heidi Johansen-Berg FMedSci and Professor Mark Woolrich