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
PhD students
- Giorgio Giannone (2020-2023) works on
generative models. Main supervisor: Ole Winther.
- Hadi Beik-Mohammadi (2020-2023) works on
geometry in robotics. Main supervisor: Leonel Rozo (Bosch). Co-supervisor: Gerhard Neumann.
- Federico Bergamin (2020-2023) works on
generative models for recommender systems. Main supervisor: Jes Frellsen.
- 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.
Alumni
- 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.