Lukas Bruder

Lukas Bruder, Dr.-Ing., is a researcher affiliated with the Mechanics & High Performance Computing Group at the Technical University of Munich (TUM). His work focuses on biomechanical modeling, uncertainty quantification, and machine learning applications in computational medicine. He has presented research at international conferences including WCCM-ECCOMAS, UNCECOMP, and ECCOMAS Congress, with a particular emphasis on abdominal aortic aneurysm (AAA) rupture risk assessment and inverse problem solutions.

• Research Interests: Biomechanical Modeling, Uncertainty Quantification, Inverse Problems, Surrogate Modeling, Bayesian Methods, Machine Learning
• Teaching: Engineering Mechanics I/II Exercises, Research Internships
• Publications: 10+ peer-reviewed articles on AAA biomechanics, multi-fidelity methods, and AI in vascular medicine

Bruder holds a PhD in Mechanical Engineering from TUM (2022) and has served as a research associate since 2017. Prior to this, he completed a Master's degree in Mechanical Engineering at TUM and worked as a visiting researcher at Sandia National Labs. His methodological expertise includes probabilistic frameworks, data-consistent inverse problem solutions, and predictive modeling using clinical data.