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.

Postdocs

  • Nicholas Krämer works in the interface of numerical methods and machine learning.
  • Yevgen Zainchkovskyy works on Bayesian optimization and scalable geometry.
  • Samuel Matthiesen works on geometric representations.
  • Hrittik Roy (2022-2025) works on Bayesian deep learning and numerics.

PhD students

  • Andrea Testa (2024-2027) works on robust robotics. Main supervisor: Leonel Rozo. Co-supervisor: Tamim Asfour.
  • Alejandro Valverde Mahou (2024-2027) works on machine learning for radiation measurements. Main supervisor: Georgios Arvanitidis.
  • Stas Syrota (2025-2028) works on latent variable models. Co-supervisor: Ole Winther.
  • Maria Esteban Casadevall (2025-2028) works on equivariant models. Main supervisor: Erik Bekkers.
  • Martin Carrasco (2025-2028) works on topological deep learning. Main supervisor: Bastian Rieck.
  • Albert López i Serrano (2026-2029) works on invariances in deep learning. Co-supervisor: Georgios Arvanitidis.

Alumni

  • Frederik Möbius Rygaard (2023-2026) worked on algorithms for computing geodesics. Main supervisor: Steen Markvorsen.
  • Marco Miani (2022-2025) worked on Bayesian deep learning. Co-supervisor: Wouter Boomsma.
  • Hadi Beik-Mohammadi (2020-2025) worked on geometry in robotics. Main supervisor: Leonel Rozo (Bosch). Co-supervisor: Gerhard Neumann.
  • Johan Ziruo Ye (2022-2025) worked on representation learning for point clouds. Co-supervisors: Peter Søndergaard and Jes Frellsen.
  • Pablo Moreno-Muñoz worked on Gaussian process models.
  • 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.