All About me

I am a Postdoctoral Researcher at TU Delft working at the intersection of fluid mechanics, atmospheric and wind engineering, data science, and AI-driven modelling. My background in Hydraulics provides a strong foundation for research in turbulent flows, atmospheric boundary layers, wind-farm aerodynamics, and environmental prediction. I have experience in CFD method development and code implementation, large-scale data analytics, uncertainty quantification, and machine-learning–based modelling. My work combines physics-based simulation with data-driven approaches to develop reliable, interpretable tools for complex flow systems. Alongside my research, I have served as a university lecturer and co-instructor for undergradute and graduate courses in uncertainty quantification and fluid mechanics, supervising MSc and PhD students. I enjoy R&D environments where advanced modelling, software development, and applied data science converge, and I am a fast learner who adapts quickly to new tools, domains, and technical challenges. I am motivated by opportunities that integrate simulation, analytics, and AI to solve impactful problems in engineering, climate, and renewable energy.

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