About me
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PhD Researcher
ETH Zürich
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8+ Years Exp.
R&D & Academia
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Automotive
Engineering Expert
As a computational engineering researcher, I specialize in solving complex multiphysics problems through multiscale modeling. Currently completing my Doctorate at ETH Zürich, I focus on advanced simulation techniques for multiphysics processes. My approach uniquely combines classical Finite Element Methods with modern Machine Learning algorithms to bridge the gap between microscale material science and macroscale engineering applications.
My professional journey spans both academia and the automotive industry. From developing numerical models for heterogeneous materials to leading structural analysis projects for mass-production vehicles, I bring technical depth backed by practical problem-solving skills. I am passionate about applying computational tools to innovate in manufacturing, materials science, and product design.
Outside of research, I enjoy hiking the Swiss Alps and playing badminton. Exploring Switzerland’s landscapes helps me recharge, while sports teach me the value of agility and focus.
Research Focus
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Multiphysics Modeling
Developing fully coupled electro-thermo-mechanical frameworks to simulate processes.
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Multiscale Modeling
Bridging microscale mechanics with macroscale component behavior.
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Surrogate Modeling for FEM
Implementing AI/ML-driven surrogate models to accelerate finite element simulations.
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Computational Engineering
Advanced structural analysis, fracture mechanics, and optimization using HPCs.