Areas of research and teaching: 

  • data science and its applications
  • data mining, pattern mining, text mining, graph mining
  • artificial intelligence and computational creativity

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Areas of research and teaching:

  • big data processing frameworks
  • distributed data science infrastructures
  • distributed computation
  • networked systems

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Areas of research and teaching:

  • probabilistic modelling and inference
  • computational statistics and statistical machine learning
  • privacy-aware data science
  • applications in computational biology and medicine

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Areas of research and teaching:

  • machine learning
  • deep learning
  • probabilistic modelling and inference

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Areas of research and teaching:

  • machine learning and computational statistics
  • big data analytics
  • probabilistic graphical models
  • information theory
  • digital humanities

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Areas of research and teaching:

  •      bayesian modelling and decision analysis
  •      spatial and spatio-temporal statistics
  •      gaussian processes
  •      computational statistics and machine learning
  •      applications related to environmental management and risk assessment problems

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Areas of research and teaching:

  • applied data analysis on environmental data 
  • research infrastructure development
  • data science best practices and ethics

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Areas of research and teaching:

  • data mining and databases
  • computer science education
  • privacy
  • information retrieval