I am a PhD student privileged to be supervised by Anil Yaman, Guszti Eiben, and Thomas Bartz-Beielstein.
My research interests center around efficient deep learning and representation learning, motivated by the question:
"What drives the emergence of intelligence?"
Alongside my PhD, I work as a Technical Lead at Prognos AG.
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).
My research interests center around efficient deep learning and representation learning, motivated by the question:
"What drives the emergence of intelligence?"
Alongside my PhD, I work as a Technical Lead at Prognos AG.
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).
latest posts
| Mar 25, 2025 | Tanh Function as Drop-In Replacement for Layernorm |
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| Jan 10, 2024 | Towards Group Equivariant Self-Attention |
| Jan 09, 2024 | Group Equivariant Self-Attention |
