Research

Research

I develop mathematical and computational methods for learning from complex temporal and longitudinal data. My research combines the development of new methodology with applications to high-dimensional, multivariate and irregular real-world data.

My work is organised around three connected research themes.

Research themes

Mathematical methods for learning systems

I study reservoir computing through free probability and dynamical systems, using mathematical structure to understand learning behaviour and develop computationally efficient methods for model and hyperparameter selection. More broadly, I am interested in learning methods that are statistically and mathematically grounded and applicable beyond a single domain.

Learning representations of temporal data

I develop and evaluate methods for time-series and longitudinal modelling, including representation learning, generative models and foundation models. A particular focus is learning from irregular, heterogeneous and sparsely observed temporal data.

Learning from complex multivariate systems

I develop graph-based learning and anomaly-detection methods for high-dimensional multivariate systems. This work considers complex dependencies across sensors, network elements and temporal signals, with an emphasis on methods that remain effective and computationally tractable at real-world scale.

Projects and research networks

  • ML4ITS — Machine Learning for Irregular Time Series (IKTPLUSS, Research Council of Norway, grant no. 312062)
    Telenor lead in a collaborative project developing machine-learning methods for irregular and heterogeneous temporal data.
    Project website
  • NorwAI — Norwegian Research Center for AI Innovation (SFI, Research Council of Norway, grant no. 309834)
    Telenor representative in the Hybrid AI and Data work package.
    Project website
  • SURE-AI — More sustainable, risk-averse and ethical AI technologies (Norwegian AI centre, Research Council of Norway, project no. 357482)
    Telenor industry partner representative in research on sustainable, reliable and ethical AI.
    Project website