Christopher Bülte

Christopher began his PhD at the Bavarian AI Chair of Mathematical Foundations of Artificial Intelligence in early 2024 and soon after joined relAI. His research is dedicated to utilizing neural networks to learn and describe physical laws and systems.

Christopher holds a Bachelor’s degree in Industrial Engineering and a Master’s degree in Economathematics from Karlsruhe Institute of Technology. During his studies, he gained valuable experience as a research assistant, focusing on uncertainty quantification and the use of neural networks for weather system forecasting.

relAI Topics: Mathematical and Algorithmic Foundations, Safety