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 improves climate prediction models by developing advanced computational methods for simulating cloud microphysics. By tracking more detailed information about cloud droplets and aerosol interactions, the work enhances understanding of how clouds influence Earth’s energy balance, rainfall, and climate change, helping reduce uncertainty in long-term global climate projections.