Background: BSc. in Physics and Mathematics, MSc. in Theoretical and Mathematical Physics, PhD in Experimental Particle Physics from the University of Munich (LMU)

Kilian joined Princeton and IRIS-HEP in July 2022 as a postdoc working on machine learning (ML) solutions to performance bottlenecks for experiments at the High Luminosity Large Hadron Collider at CERN. In February 2024, he joined PLI as a research software engineer. Before joining Princeton, he worked on calibrating and de-biasing ML algorithms, performed distribution clustering analyses, and was responsible for the integration testing of the software framework of the Belle II collaboration. He has also held various leadership roles related to software training and education in High Energy Physics.