Technical Lead at Prognos AG.
In parallel, I am pursuing a PhD working with Anil Yaman, Guszti Eiben, and Thomas Bartz-Beielstein.
Broadly, my research focuses on efficient deep learning and representation learning, motivated by the question:
"What drives the emergence of intelligence?"
Previously, during my Master’s degree in Artificial Intelligence at VU Amsterdam, I worked with Peter Bloem on geometric deep learning and equivariant neural networks. For my Bachelor’s thesis in Computer Science at TH Köln, I contributed to the development of an open-source framework for quantum computing together with Elisabeth Lobe, Tobias Stollenwerk, and Beate Rhein, in collaboration with the German Aerospace Center (DLR).
In parallel, I am pursuing a PhD working with Anil Yaman, Guszti Eiben, and Thomas Bartz-Beielstein.
Broadly, my research focuses on efficient deep learning and representation learning, motivated by the question:
"What drives the emergence of intelligence?"
Previously, during my Master’s degree in Artificial Intelligence at VU Amsterdam, I worked with Peter Bloem on geometric deep learning and equivariant neural networks. For my Bachelor’s thesis in Computer Science at TH Köln, I contributed to the development of an open-source framework for quantum computing together with Elisabeth Lobe, Tobias Stollenwerk, and Beate Rhein, in collaboration with the German Aerospace Center (DLR).
selected publications
latest posts
| Mar 25, 2025 | Tanh Function as Drop-In Replacement for Layernorm |
|---|---|
| Jan 10, 2024 | Towards Group Equivariant Self-Attention |
| Jan 09, 2024 | Group Equivariant Self-Attention |