Research Expertise and Interest

statistical computing, applications in the physical and environmental sciences, applications in biology and medicine, non-parametric inference, artificial intelligence, machine learning

Research Description

Giles Hooker is a professor in the Department of Statistics.  His research interests include data analysis for dynamical systems and differential equations, machine learning and data mining, functional data analysis.

See gileshooker.com for details.