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.


PhD students

  • Hadi Beik-Mohammadi (2020-2023) works on geometry in robotics. Main supervisor: Leonel Rozo (Bosch). Co-supervisor: Gerhard Neumann.
  • Marco Miani (2022-2025) works on representation learning. Co-supervisor: Wouter Boomsma.
  • Johan Ziruo Ye (2022-2025) works on representation learning for point clouds. Co-supervisors: Peter Søndergaard and Jes Frellsen.
  • Hrittik Roy (2022-2025) works on geometric learning. Co-supervisor: Jes Frellsen.
  • Frederik Möbius Rygaard (2023-2026) works on stochastic geometry. Main supervisor: Steen Markvorsen.
  • Andrea Testa (2024-2027) works on robust robotics. Main supervisor: Leonel Rozo. Co-supervisor: Tamim Asfour.
  • Alejandro Valverde Mahou (2024-2027) machine learning for radiation measurements. Main supervisor: Georgios Arvanitidis.


  • Federico Bergamin (2020-2023) worked on generative models for recommender systems. Main supervisor: Jes Frellsen.
  • Giorgio Giannone (2020-2023) worked on generative models. Main supervisor: Ole Winther.
  • Jakob Drachmann Havtorn (2020-2023) worked on generative models. Main supervisor: Jes Frellsen. Co-supervisors: Ole Winther, Lars Maaløe.
  • Yevgen Zainchkovskyy (2020-2023) worked on Bayesian optimization. Co-supervisor: Carsten Stahlhut.
  • Frederik Warburg (2020-2023) worked on place recognition. Co-supervisor: Javier Civera.
  • Alison Pouplin (2020-2023) worked on random Riemannian geometry. Co-supervisors: David Eklund and Georgios Arvanitidis.
  • Miguel González Duque (2019-2023) worked on differential geometry in game design. Main supervisor: Sebastian Risi.
  • Cilie Feldager (2018-2022) worked with random metrics. Co-supervisor: Lars Kai Hansen.
  • Simon Bartels worked on Gaussian process models.
  • Pola Elisabeth Schwöbel worked on bias in machine learning.
  • Nicki Skafte Detlefsen (2017-2022) worked on deep learning for representation learning.
  • Dimitris Kalatzis (2018-2022) worked with generative models. Co-supervisor: Ole Winther.
  • Jeppe Thagaard (2018-2021) worked on cell and tissue classification. Main supervisor: Anders Dahl.
  • Søren Wengel Mogensen (2020 - 2021) worked on random geometries.
  • Martin Jørgensen (2017-2021) studied the geometry of latent variable models.
  • Costy Kodsi (2018 - 2020) worked on numerics in geometry.
  • David Eklund (2018 - 2020) worked random Riemannian geometry.
  • Georgios Arvanitidis (2015-2019) worked on learning Riemannian metrics and building statistical models accordingly. Co-supervisor: Lars Kai Hansen.
  • Tao Yang (2018) worked on manifold learning.