At RWTH Aachen University’s Institute for General Mechanics, I developed and optimized finite element models for vehicle subsystem crashworthiness and structural performance. I automated Python modeling and analysis workflows, reducing manual pre- and post-processing effort by approximately 40%.
For my master’s thesis, I built an automated ABAQUS workflow for 225 nonlinear crash simulations and developed a neural-network surrogate model for rapid design evaluation. I also used classical and machine-learning methods to identify Pareto-optimal bumper designs, and at Mercedes-Benz AG I investigated design and integration discrepancies across MB-EA vehicle platforms.
