Areas of Expertise

  • Population Health Research
  • SAIL Databank
  • Data Linkage
  • SQL
  • R
  • GIS
  • Spatial Data Analysis

Publications

  1. & Residential Moving and Preventable Hospitalizations. PEDIATRICS 138(1), e20152836-e20152836.
  2. & Educational Attainment at Age 10–11 Years Predicts Health Risk Behaviors and Injury Risk During Adolescence. Journal of Adolescent Health
  3. & Epilepsy and deprivation, a data linkage study. Epilepsia, n/a-n/a.
  4. Holocene book review: An Introduction to R for Spatial Analysis and Mapping. The Holocene 25(9), 1533-1533.
  5. & Oxygen stable isotope ratios from British oak tree-rings provide a strong and consistent record of past changes in summer rainfall. Climate Dynamics

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Teaching

  • PMIM102 Scientific Computing and Health Care

    The module aims at raising the awareness of students about scientific computing. It provides a brief overview of computation and focuses on the computational needs and workflows that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate.

  • PMIM202 Health Data Modelling

    Health data scientists are expected to work with diverse data sources. However, due to the abstraction offered by modern database management systems, these data sources can be treated similarly through a set of standardised operations. The objective of this module is to raise the awareness of students about the process of data modelling and the key operations involved in the data processing of large and diverse datasets.