About me

I am a research group leader at the Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr University Bochum. My group, Data-Oriented Materials Modeling, focuses on data-driven approaches for understanding and modeling the relationship between microstructure and mechanical properties of metalic materials.

Academic journey

My research journey started with metals. During my bachelor’s studies in Metallurgical Engineering, I became fascinated by the world of metallic materials.

This perspective broadened during my master’s studies in Materials Science at Technische Universität Darmstadt. Moving to Germany was not only an academic step, but also an important personal experience that expanded my scientific perspective and introduced me to new ways of thinking about materials research. During this time, I became increasingly interested in data-driven methods and the potential of machine learning for understanding mechanical properties and materials behavior.

During my Ph.D. at Ruhr University Bochum, I worked on data-oriented modeling of microstructure and mechanical properties of polycrystalline metals. My research focused on using machine learning models to describe plasticity in metals using data generated from micromechanical simulations. I defended my Ph.D. in December 2025. Since 2026, I have been a research group leader at ICAMS.

Research interests

My research focuses on the combination of mechanics, materials science, and data-driven modeling. I am especially interested in:

• machine learning methods for micromechanics
• microstructure-property relationships
• data-driven materials modeling
• computational mechanics and materials simulation
• prediction of mechanical properties from microstructural descriptors
• research data management workflows
• metadata schemas and structured scientific data