MSc
Fabian is a Master’s student in Computer Science at the Technical University of Munich (TUM). He earned his Bachelor’s degree in Computer Science from RWTH Aachen University in 2023, where he wrote his thesis on quantization techniques for neural networks.
During an internship at AMD, Fabian contributed to the development of open-source quantization tools and conducted research on new algorithms for post-training quantization. He has also explored fairness in large language models through research conducted at New York University’s Center for Cybersecurity.
He joined relAI in October 2024.
relAI Research Areas: Mathematical and Algorithmic Foundations, Algorithmic Decision-Making
relAI Central Themes: Safety, Responsibility