Experience

Research positions

 
 
 
 
 
Head of Research (AI4Simulation)
Feb 2024 – Present Linz(Austria)
I am a Head of Research (AI4Simulation) at the newly funded NXAI. More to come soon!
 
 
 
 
 
Assistant Professor, Group Lead
Oct 2023 – Present Linz (Austria)
Group lead at the Institute for Machine Learning at the Johannes Kepler University (JKU). I have started a group “AI for data-driven simulations”. More to come soon!
 
 
 
 
 
Visiting Researcher
Oct 2023 – Jan 2024 Amsterdam
Visiting Researcher in the AI4Science lab at Microsoft Research. I keep working with my amazing team in Amsterdam/Cambridge/Redmond. We are pushing the limits!
 
 
 
 
 
Senior Researcher
Jan 2022 – Sep 2023 Amsterdam
Senior Researcher in the AI4Science lab at Microsoft Research. I have built a new research group for large-scale PDE modeling. Some of the research highlights comprise Geometric (Clifford) algebras networks, PDEArena, and ClimaX: the first foundation model for weather and climate.
 
 
 
 
 
ELLIS PostDoc
Jan 2022 – Dec 2022 Amsterdam
ELLIS PostDoc researcher in the Amsterdam Machine Learning Lab hosted by Max Welling. For my research, I received the ELISE mobility program.
 
 
 
 
 
Tenure Track Professor
Aug 2020 – Dec 2022 Linz (Austria)
Tenure Track position at the Institute for Machine Learning of Sepp Hochreiter at the Johannes Kepler University (JKU) Linz.
 
 
 
 
 
PostDoc
Jul 2018 – Jul 2020 Linz (Austria)
Postdoctoral Researcher at the Institute for Machine Learning of Sepp Hochreiter at the Johannes Kepler University (JKU) Linz.
 
 
 
 
 
PhD Researcher
Jan 2015 – Apr 2018 CERN (Geneva)
PhD researcher at the CMS experiment at CERN. The CMS experiment is one of two general purpose experiments at the Large Hadron Collider (LHC) at CERN, responsible for e.g., the discovery of the Higgs boson.
 
 
 
 
 
Master and PhD Researcher
Jan 2013 – Apr 2018 Vienna (Austria)
Master and PhD researcher at the Austrian Academy of Sciences, working at the Institute for High-Energy Physics. My PhD Thesis thesis was on the decay of neutral Higgs and Z bosons into pairs of tau leptons.

Teaching

Future Courses

Theoretical Concepts of Machine Learning (summer term 2024)

More information will follow soon.

Deep Learning III - Geometric Deep Learning (winter term 2024/2025)

More information will follow soon.

Past Courses

I have been teaching different courses of the Bachelor and Master program “Artificial Intelligence” at the Johannes Kepler University (JKU) Linz.

  • Winter 2020/2021: Exercises in Hands-on AI I, Lecturer
  • Winter 2020/2021: Lecture in Hands-on AI I, Lecturer
  • Summer 2020: Lecture in Hands-on AI II, Lecturer
  • Winter 2019/2020: Lecture in Hands-on AI I, Lecturer
  • Winter 2019/2020: Exercises in Machine Learning: Supervised Techniques, Lecturer
  • Winter 2019/2020: Lecture in Machine Learning: Supervised Techniques, Lecturer
  • Summer 2019: Exercises in Theoretical Concepts of Machine Learning, Lecturer
  • Summer 2019: Exercises in Machine Learning: Unsupervised Techniques, Lecturer
  • Winter 2018/2019: Lecture in Numerical and Symbolic Methods for Bioinformatics, Lecturer
  • Winter 2018/2019: Exercises in Machine Learning: Supervised Techniques, Lecturer