Mathematical Statistics

Enabling the collaborative research in Precision Health that is instrumental in the transition to preventative medicine



John Aston

j.aston@statslab.cam.ac.uk

Physical  Mathematical Statistics  

Prof Aston's research interests include all areas of Applied Statistics but particularly Official and Public Policy Statistics, Statistical Neuroimaging and Statistical Linguistics; and the links between statistics and other areas of pure and applied mathematics. He is also involved in some of Cambridge's AI and COVID-19 work through AIX-COVNET.

public policy statistics  statistical neuroimaging  statistical linguistics  

Sergio Bacallado

sb2116@cam.ac.uk

Physical  Mathematical Statistics  

Dr Bacallado is a statistician specialising in Bayesian methods and Bayesian nonparametrics. In particular, he has a background in Structural Biology. He develops methods for the analysis of human microbiome studies, and previously worked on applications to molecular dynamics simulations and single-molecule biophysics.

statistics  microbiome studies  molecular dynamics simulations  

Richard Samworth

r.samworth@statslab.cam.ac.uk

Physical  Mathematical Statistics  

Prof Samworth's main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained density estimation and other nonparametric function estimation problems, nonparametric classification, clustering and regression, the bootstrap and high-dimensional variable selection problem. Further applciations include public health, genetics, archaeology and oceanography.

public health  genetics  nonparametric  high-dimensional statistics