Mathias Kristian Kyndlo Löwe

PhD Fellow, Center for Computer Games Research


Mathias started his PhD at the Center for Computer Games Research in September 2018. As an industrial PhD fellow, he is closely collaborating with the industry by applying state-of-the-art research to solve real-world problems. His current research focuses on timeseries datasets and generative models using deep latent variable methods. He holds a MSc in Software Development (Advanced Computing track) with specialization in Business Intelligence from the IT University of Copenhagen (ITU), and a BSc in Software Development - also from ITU.

Areas of competence

  • Machine learning
  • Model Based Machine Learning
  • Artificial Intelligence
  • Bayesian optimization
  • (Variational) Autoencoders
  • Variational inference
  • Generative models
  • Monte Carlo sampling methods
  • General linear models
  • Generalized linear models
  • Gaussian mixture models
  • Evolutionary algorithms
  • Incorporating user preferences in AI
  • Time series model prediction
  • Gradient-free optimization techniques
  • Illumination of search-spaces.

Current Research Interest

Variational autoencoders, generative models, and mixture models for timeseries datasets.

List of publications

List available here.

Contact info

Email: malw (at)

Office: 5C08