Patrick McSharry

Patrick McSharry is a Senior Research Fellow at the Smith School of Enterprise and the Environment, Faculty Member of the Oxford Man Institute of Quantitative Finance at Oxford University, Visiting Professor at the Department of Electrical and Computer Engineering, Carnegie Mellon University, Fellow of the Royal Statistical Society and Senior Member of the IEEE. He takes a multidisciplinary approach to developing quantitative techniques for data science, decision-making and risk management. His research focuses on big data, forecasting, predictive analytics, machine learning and the analysis of human behaviour. He has published over 90 peer-reviewed papers, participated in knowledge exchange programs and consults for national and international government agencies and the insurance, finance, energy, telecoms, environment and healthcare sectors. Patrick received a first class honours BA in Theoretical Physics and an MSc in Engineering from Trinity College Dublin and a DPhil in Mathematics from Oxford University.

Content by Patrick McSharry
  • Publication - Policy Brief

    Raising exports and attracting FDI in Rwanda

    18 Jan 2017 | Philip English, Patrick McSharry, Kasim Ggombe

  • Project

    Capacity building for monitoring & evaluation strategy for Rwanda Development Bank

    This project has two objectives. The first is to produce an integrated study of trade performance and policy priorities that will be of benefit to the government and to DFID as it designs its growth programme. The second is to undertake a scoping visit to assist the Rwandan Development Bank (BRD) in formulating an approach to monitoring and evaluation for its programmes,...

    8 Dec 2016 | Patrick McSharry, Philip English

  • Blog post

    Can index based insurance reduce the vulnerability of farmers to weather?

    An IGC study reveals that index insurance has the potential to reduce the vulnerability of farmers to weather. This is dependent on data quality and model accuracy, with the highest predictive capacity involving a combination of satellite datasets. Even so, variation in agricultural production remains a challenge. Furthermore, the insurance needs to be credible and...

    27 Oct 2016 | Patrick McSharry, Tom Swartz, John Spray