Mathias Kristian Kyndlo Löwe

Mathias started his PhD at the Center for Computer Games Research in September 2018. As an industrial PhD fellow he is collaborating closely with the company Blackwood Seven.

The purpose of the collaboration is to apply state-of-the-art research to solve real-world problems in the industry.

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
  • Model Based Machine Learning
  • Artificial Intelligence
  • Bayesian optimization
  • (Variational) Autoencoders
  • Generative models
  • Monte Carlo sampling methods
  • Gaussian mixture models
  • Evolutionary algorithms
  • Interpretable AI
  • Incorporating user preferences in AI optimization models
  • 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. Ensemble methods. Human-computer interaction. Collaboration between neural networks and Bayesian models – the best of both worlds.

Contact Info
Email: malw AT itu DOT com