People

I'm fortunate to work with excellent people; meet some of them here.

Meet awesomeness!

Many great people have decided to work with me on various projects. I'm truly grateful to these individuals for enriching my working life so much. If you're interested in joining the ranks of these amazing people as a PhD student or post doc, then check the open positions. If you're interested in a master's project, then just contact me.

Post docs

  • David Eklund (2018 - 2020) works random Riemannian geometry.
  • Costy Kodsi (2018 - 2020) works on numerics in geometry.

PhD students

  • Nicki Skafte (2017-2020) does deep learning for estimating metrics. Co-supervisor: Ole Winther.
  • Martin Jørgensen (2017-2020) studies the geometry of latent variable models. Co-supervisor: Lars Kai Hansen
  • Cilie Feldager (2018-2021) works with random metrics. Co-supervisor: Lars Kai Hansen
  • Jeppe Thagaard (2018-2021) works with cell and tissue classification. Main supervisor: Anders Dahl.
  • Dimitris Kalatzis (2018-2021) works with generative models. Co-supervisor: Ole Winther.
  • Pola Elisabeth Schwöbel (2019-2021) works on bias in machine learning. Co-supervisor: Kristoffer Hougaard Madsen.

Alumni

  • Anne Sofie Talleruphuus (master student, 20198) worked on data augmentation.
  • Georgios Arvanitidis (PhD, 2015-2019) worked on learning Riemannian metrics and building statistical models accordingly. Co-supervisor: Lars Kai Hansen.
  • Tao Yang (post doc, 2018) worked on manifold learning.
  • Christian Hjuler Christensen (master student, 2018) worked on data augmentation.
  • Daniel Beck Hansen (master student, 2018) worked on data augmentation.
  • Bue Jul Jørgensen (master student, 2018) worked on data augmentation.
  • Asger Ougaard (master student, 2018) worked on data augmentation.
  • Tobias Slott Jensen (master student, 2018) worked on data augmentation.
  • Dan Olsen (master student, 2017) worked on directional statistics.
  • Jeppe Thagaard (master student, 2017) worked on deep learning for histopathology.
  • Nicki Skafte (master student, 2017) worked on diffeomorphisms in deep learning.