My research focuses on the development of advanced optimization methods for engineering design, with particular emphasis on optimization under uncertainty, optimization governed by partial differential equations, and multi-objective optimization. I am interested in bridging mathematical problem formulations with practical design applications, enabling robust and efficient solutions. I am interested in the design of imaging systems, balancing optical performance, efficiency,  and manufacturability.  

I studied Computational Engineering Science at RWTH Aachen University, where I developed a strong foundation in applied mathematics, numerical simulation, and engineering design. I completed my Ph.D. in Mathematics at the University of Kaiserslautern, where I also continued as a Postdoctoral Researcher. During this time, my research focused on aerodynamic shape optimization, shape design for internal flows, and topology optimization. I combined multi-objective optimization and optimization under uncertainty, and explored new strategies for one-shot optimization methods.  This formed my interest in developing mathematical and computational methods that advance engineering design through optimization.