Bio


Anna Bui is a theoretical chemist who studies how fluids behave across length scales, from molecular interactions to macroscopic flow. Her research combines statistical physics, computer simulation, and machine learning to develop predictive theories for water, ions, and electrolytes, with applications in energy, nanofluidics, and functional materials. She obtained her PhD in 2026 at the University of Cambridge, where she developed multiscale frameworks linking microscopic solvation and transport to collective phenomena. At Stanford, she uses machine learning to enable inverse design of biologically inspired functions in ionic materials for energy storage and neuromorphic computing.