Statistical methodology: I am particularly interested in methods for statistical inference for data with non-trivial dependence structures. Examples:

  • Pseudo likelihood methods for time series of counts
  • Functional data analysis
  • Statistics for stochastic processes, in particular for SDE models
  • Quantile regression for clustered data

Applied statistics: As part of my work in Data Science Lab I am mainly involved in applications in biology, life sciences and related fields. Sometimes, analyses are applications of standard methods (standard from a statististician’s point of view, and often with a twist); sometimes the data requires development of new statistical methodology. Examples:

  • Analysis of OTU data with dependence
  • Mixtures of toxicants
  • Applications of (generalized) linear mixed models