Richard is a Professor of Statistics at UCL, with more than 20 years of experience of developing and applying statistical methods for the environmental sciences. His expertise includes time series analysis, space-time data and uncertainty analysis, in particular the combination of evidence from multiple sources. Specific activities include:

• Modelling and analysis of historical climate data, with a particular focus on hydrological applications;
  
• The use and interpretation of climate projections, for purposes such as the assessment of the impacts of climate change;
  
• Assessment of risk and uncertainty from natural hazards such as earthquakes, tsunami, extreme weather and floods;
  
•  The analysis of environmental time series data, with particular emphasis on trend detection and quantification;
  
• The development of statistical inference procedures that are suitable for routine application by non-specialists to large and complex data sets.
  

Richard has advised policymakers on risk and uncertainty, in applications ranging from nuclear safety assessment to the impacts of volcanic ash upon aviation. From 2012 to 2016 he led the PURE RACER consortium (https://connect.innovateuk.org/web/pure-research-programme), promoting the uptake of state-of-the-art methods for the assessment and communication of risk and uncertainty from natural hazards .