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 Hayley Randall

Hayley Randall

Research student, School of Mathematics

Room M/1.08, 21-23 Senghennydd Road, Cathays, Cardiff, CF24 4AG


Research Group


Research Interests

Dimension Reduction.


MA1500 Introduction For Probability Theory (Tutorials).



Machine learning and dimension reduction methods for high-dimensional datasets

In today’s environment where computer processors are powerful and computer memory cheap, researchers are able to collect and store huge amounts of data. Analysing that data needs sophisticated statistical and computational methods as most classic statistical methodology was developed at an era where data collection was not as easy and datasets where a lot of orders of magnitude smaller. Sufficient dimension reduction (SDR) is a class of methods for feature extraction in regression and classification problems with the purpose of reducing the size of a multidimensional dataset to a few important features. This has the potential of improving visualization of the most important relationships between the variables.


Andreas Artemiou

Dr Andreas Artemiou

Deputy Director, Data Science Academy
Senior Lecturer in Statistics

Prof Anatoly Zhigljavsky photograpgh

Professor Anatoly Zhigljavsky

Chair in Statistics