Dr Xiang Zhou received his BSc from Peking University and PhD from Princeton University. Before joining the Department of Mathematics at City University in 2012, he worked as a research associate at Princeton University and Brown University. He is jointly appointed in the School of Data Science and the Department of Mathamatics since 2018.
His major research interests include noise-induced transitions and stochastic systems, the study of rare events and its applications in physics, chemistry, biology, engineering and finance. His recent works include the transition state calculations, the interface between the machine learning algorithms, stochastic systems, optimal control and rare events.
- Applied and Computational Mathematics
- Rare events in stochastic systems
- Algorithms for transition states
- stochastic and non-linear dynamics with applications