• Room 0G.009 - Old Physics

    United Kingdom

20002022

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Personal profile

Interests

Research interests include Survival Analysis, Bayesian Modelling, Data Mining, Markov Modelling and Stochastic Models. Research applications range from a strong foundation in healthcare research and medical Statistics and Operational Research to infrastructure modelling and flow modelling. Research funding from both national and international sources continues to underpin this research effort.

Particulars

Chair of the Statistics and Operational Research Examination Board.

Research Statement

The main area of my research has specialised in Coxian phase-type distributions. Since commencing work in this field in 1997, the area which had barely any research is gradually gaining momentum with more and more researchers wishing to explore the models for alternative use, further research and development and application.

Alongside this, the work I've conducted and supervised through CenSSOR has led to Queen's being seen as experts in this field. In the last 2 years, major developments in the coding has resulted in the various models now becoming much more accessible to researchers in other domains. Future research in this field is very promising.

The original research focused on healthcare of the elderly. The UK Health Reform in 2010 and growing needs for all countries to plan and manage elderly healthcare and its associated costs makes the research extremely topical and relevant to have impact on society.

One mechanism for making this possible is the Cunberland Initiative Group of which I am a founding member. We are in the process of preparing a multi-million bid for submission to the Technology Strategy Board (TSB) grant which would be supported by other grant bodies such as EPSRC, Department of Health, and NIHR. We have also started consultancy work with some of the regional health groups.

Teaching

Teaching interests involve all areas of Statistics. In particular, I am involved with the development of new modules and course pathways. In 2005, the pathway for Mathematics, Statistics & Operational Research was introduced.

More recently in 2017, I developed the new MSc Data Analytics course as a new Faculty initiative in partnership with industry. The course is now open for applications with the first intake of students starting in September 2017. As Programme Director of the course, I have outlined its priorities to deliver highly skilled experts in data analytics who will be trained in both the computational and statistical aspects of the subject area. The course has been developed to meet the growing demands for data analytics and data science experts in industry providing modules such as Fundamentals in Data Analytics, Progamming and Database Fundamentals, Data Mining, Machine Learning, Frontiers in Analytics (which includes Behavioural Analytics and Visual Analytics) and Analytics in Action where we run our own Analytathons.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land
  • SDG 16 - Peace, Justice and Strong Institutions

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