John Aston

Professor John Aston is a faculty member in the Department of Mathematics at the University of Cambridge. His research is associated with the Cantab Capital Institute for the Mathematics of Information, the Centre for Mathematical Imaging in Healthcare, and the Statistical Laboratory. His research interests include Functional / Object Data Analysis, Time Series Analysis, Official and Public Policy Statistics, Statistical Neuroimaging, Statistical Linguistics, Seasonal Adjustment, and other Applied Statistics. He is affiliated with the Statistical Laboratory and holds the Harding Professor of Statistics in Public Life title.

John Aston is a statistician whose research focuses on statistical methodologies for complex data, particularly in functional data analysis, neuroimaging, and linguistics. His work addresses challenges in analyzing high-dimensional and dependent data, with applications in medical imaging and computational linguistics. Aston has contributed to the development of statistical techniques for fMRI and PET data, including methods for modeling autocorrelation, improving reliability, and estimating neuroreceptor ligand binding. His research also extends to official statistics and machine learning, emphasizing robustness and imputation quality. His publications highlight the integration of statistical modeling with real-world data analysis.