Dr Jonathan Gillard

Dr Jonathan Gillard

Reader in Statistics
Director of Admissions

School of Mathematics

Email:
gillardjw@cardiff.ac.uk
Telephone:
+44 (0)29 2087 0619
Location:
M/1.26, 1st Floor, Mathematics Institute, 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). I am interested in supervising students in any of my research areas.

Administrative duties

  • Member of Board of Studies
  • Examinations Officer for Statistics and Operational Research
  • MPhil/PhD contact for Statistics and Operational Research
  • MATHS theme lead for the Data Innovation Institute
  • Senior Statistics Support Tutor for the Maths Support Service
  • Director of Admissions

Professional memberships

  • Member of the European Network for Business and Industrial Statistics
  • Member of the British Society for Research into Learning Mathematics
  • Senior Fellow of the Higher Education Academy

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

  • 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.

2007

I am presently a module leader for two modules:

Postgraduate

  • MAT002 Statistical Methods

Undergraduate

  • MA1501 Statistical Inference

PhD students

Current

  • Henry Wilde (with Vincent Knight)
  • Emily O' Riordan (with Anatoly Zhigljavsky)
  • Megan Scammel (with Anatoly Zhigljavsky)

Completed

  • 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.

Research interests

  • Matrix low-rank approximation and its interface in statistical methodologies such as time series analysis
  • Measurement error models
  • 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