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Machine learning

Mikael Djurfeldt
Mikael Djurfeldt researcher

Qualification

  • Computer Science specialising in Computational Neuroscience (Ph.D., KTH)
  • Engineering physics (M.Sc., KTH)

Current work

  • support and training for PDC users
  • machine learning

Can help PDC users with

  • machine learning
  • computational neuroscience (neuronal simulators and other tools)
  • general scientific computing problems

Previous research and work

  • development of a large-scale cerebral cortex model (Djurfeldt et al, IBM J. Res. and Dev. 2008)
  • main developer of the co-simulation framework MUSIC
  • author of the Connection-set Algebra (Djurfeldt, Neuroinformatics 2012)
  • research and development within the Human Brain Project and EBrains
  • co-author and previous maintainer of the GNU Scheme interpreter Guile
  • author of the Guile object oriented programming system GOOPS