Reasoning and decision making under uncertainty

I am a postdoctoral researcher at the Telecooperation Lab, Technical University of Darmstadt. I received my PhD in Computer Science from TU Darmstadt in 2025 (summa cum laude) for my dissertation On Uncertainty-Aware Perception, Prediction, and Planning.

My research develops methods for reliable reasoning and decision making under uncertainty. It connects statistical reliability in machine learning with structured reasoning, human–AI interaction, and the post-training and evaluation of large language models. I am particularly interested in systems that must remain dependable when data distributions, sensing conditions, model representations, or decision contexts change after development.

This agenda spans uncertainty quantification and conformal prediction under distribution shift, reliable reasoning and post-training of foundation models, and decision mechanisms that use uncertainty to govern interaction between AI systems and human users.