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Dr Jonathan Gillard

Dr Jonathan Gillard

Reader in Statistics
Director of Admissions

School of Mathematics

+44 (0)29 2087 0619
Room M/1.26, Maths and Education Building , Senghennydd Road, Cardiff, CF24 4AG
Available for postgraduate supervision

I am a Reader in Statistics but I also work at the interface of optimization, linear algebra and operational research. I pursue a number of research interests. My main current research topic is in matrix optimization problems and their statistical application but maintain active in interdisciplinary and collaborative work. I am a member of the Statistics research group at the School of Mathematics and of the Data Innovation Research Institute.

I am always interested to hear from interested PhD candidates. I currently have students working in topics such as machine learning for optimal decisions in healthcare (joint with the NHS), and anomaly detection (joint with the Office for National Statistics where I am currently seconded part-time). I am interested in supervising students in any of my research areas.

I am Director of Admissions at the School of Mathematics. For information on our diverse portfolio of courses, please see here.

Professional memberships

  • Member of the European Network for Business and Industrial Statistics
  • Member of the International Society for Global Optimization
  • Senior Fellow of the Higher Education Academy














  • Wilson, R. and Gillard, J. W. 2008. Some problems associated with running a Maths Support Service. Presented at: CETL-MSOR Conference 2008, Lancaster University, Lancaster, UK, 8-9 September 2008 Presented at Green, D. ed.CETL-MSOR Conference 2008 Conference Proceedings. Birmingham: The Maths, Stats & OR Network pp. 94-99.


I am delighted to be a Senior Fellow of the Higher Education Academy. I am presently a module leader for two modules:


  • MAT002 Statistical Methods


  • MA1501 Statistical Inference

Research interests

  • Matrix low-rank approximation and its interface in statistical methodologies such as time series analysis
  • Development of novel statistical techniques for applied and interdisciplinary research
  • Innovative teaching methods and the analysis of survey data generated from student evaluations

Research group

I am interested in supervising PhD students in the areas of:

  • low-rank matrix optimization problems and their applications
  • time series analysis
  • statistical methodology for industrial application

Current supervision

Emily O'Riordan

Research student

Meg Scammell

Research student

Henry Wilde

Henry Wilde

Research student

Past projects

  • Julie Vile (2013): Time-Dependent Stochastic Modelling for Predicting Demand and Scheduling of Emergency Medical Services.
  • Gareth Davies (2018): Examination of Approaches to Calibration in Survey Sampling.

Areas of expertise