This research applies fluid mechanics, numerical simulations, and machine learning to model the brain’s waste-clearance system during sleep. By investigating how fluid moves through brain tissue and how aging or injury affect this process, the work aims to identify strategies for preventing or slowing neurodegenerative diseases such as Alzheimer's.

This research investigates near-wall turbulence, the chaotic fluid motion responsible for much of aerodynamic drag in transportation systems. Using high-resolution computational simulations and predictive modelling, the work aims to better understand turbulence near surfaces, enabling more efficient aerospace designs, reduced fuel consumption, and potentially major reductions in greenhouse gas emissions.