Dr Jonathan Gillard

Dr Jonathan Gillard

Senior Lecturer 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

I am a Senior Lecturer in Statistics pursuing a number of research interests. My main interest is in matrix optimization problems and their statistical application. I have wide experience of interdisciplinary and collaborative work. I am a member of the Statistics research group and of the Data Innovation Research Institute.

Administrative duties

  • Member of Board of Studies
  • Member of Research Committee
  • Member of Learning and Teaching Committee
  • Member of Student-Staff Panel (UG and MSc)
  • 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
  • Undergraduate Admissions Tutor
  • Director of Admissions

Personal web page

www.jonathangillard.co.uk

Professional memberships

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

Committees and reviewing

  • Member of Senate
  • Member of Court

I am presently a module leader for two modules:

Postgraduate

  • MAT002 Statistical Methods

Undergraduate

  • MA1501 Statistical Inference

PhD students

Current

  • Gareth Davies (with Anatoly Zhigljavsky)
  • Henry Wilde (with Vincent Knight)

Completed

  • Julie Vile (2013): Time-Dependent Stochastic Modelling for Predicting Demand and Scheduling of Emergency Medical Services.

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