About Me

I am an incoming M.Sc. student in Computer Science at ETH Zurich, broadly interested in the reliability and trustworthiness of deep learning systems. Currently I work on understanding how neural networks encode information in their learned representations, as well as developing source attribution mechanisms for LLMs, which is the subject of my Bachelor's thesis, co-advised by Prof. Färber at Technische Universität Dresden.
This summer, I will join Prof. Lo's lab at National Taiwan University as a visiting researcher.
Previously, I conducted research on relative latent space geometry at the Max Planck Institute for Mathematics in the Sciences under Dr. Taha, and interned at ScaDS.AI and TSMC.

News

• (03/2026) Accepted to M. Sc. in Computer Science at ETH Zurich. See you in Switzerland!
• (02/2026) Accepted as a visiting researcher at National Taiwan University. See you in Taipei!
• (01/2026) 1 Paper accepted to TMLR!
• (12/2025) 1 Paper accepted to the NeurIPS workshop NeurREPS!
• (08/2025) Starting my exchange semester at NTUST in Taiwan. See you in Taipei!

Publications

Peer-reviewed

• Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry
  Deniz Kucukahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld, Maximilian Amthor, Christian Deubel, Nico Scherf, Diaaeldin Taha
  TMLR 2026.
• A Comparative Empirical Study of Relative Embedding Alignment in Neural Dynamical System Forecasters
  Deniz Kucukahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld, Maximilian Amthor, Christian Deubel, Nico Scherf, Diaaeldin Taha
  NeurIPS 2025 workshop on Symmetry and Geometry in Neural Representations (NeurREPS).

Experience

TSMC, Machine Learning Intern, Taichung, Taiwan, 2025-2026
ScaDS.AI, Software Engineering Intern, Leipzig, Germany, 2025
Max Planck Institute for Mathematics in the Sciences, Machine Learning Research Intern, Leipzig, Germany, 2024

Teaching

I served as a teaching / lab assistant for the following courses at the University of Leipzig:

• Modelling and Programming 1 (Winter 2023)
• Practical Course Object-Oriented Programming (Summer 2024)
• Introduction to Object-Oriented Programming and Modelling (Winter 2024)

Miscellaneous

Check out my blog for more detailed write-ups about my experiences and projects, as well as notes on interesting papers I read. Outside of research, I enjoy studying Mandarin, playing the piano and reading (my favorite is Notes From Underground by Dostoevsky). I enjoy conversations with people from diverse fields, especially those I'm less familiar with. I also love learning about different cultures and seize every chance I get to travel.