Skip to main content

Applied Statistics and Machine Learning

We have a long-standing track record of outstanding research in statistics with applications in the biosciences.

Our expertise

The Applied Statistics and Machine Learning group aims to share statistical knowledge and expertise among its members, leading to development of new methodologies and statistical applications within various statistical research domains and collaboration with members across the University and industry partners. Some key interests include:


  • Bayesian statistics and its applications
  • Experimental design and analysis
  • Extremes
  • Graphical models and Causal inference
  • Machine learning
  • Risk and reliability analysis
  • Spatial statistics
  • Survival and longitudinal analysis
3D illustration of proteins with lymphocytes, t cells or cancer cells.

Filter by staff position:

    Our People

    More about the statistics research group