Syver Døving Agdestein

Postdoctoral researcher in scientific computing · probabilistic approaches to simulating turbulence · closure models · differentiable programming in Julia

Publications

GitHub

Research

Data-driven and structure-preserving closure models for the large-eddy simulation of turbulent flows — now exploring probabilistic approaches to simulating turbulence, where numerical analysis, fluid dynamics, and machine learning meet.

Software

I build scientific computing software in Julia — differentiable, GPU-accelerated solvers and the tools that make my research runnable and fast.

Beyond research

I have lived in Asker, Gembloux, Toulouse, Saint-Petersburg, Paris, and now Amsterdam. I'm drawn to history, languages, and the piano.

I'm a postdoctoral researcher in the Scientific Computing group at CWI in Amsterdam. I recently completed my PhD at Eindhoven University of Technology on data-driven closure models for the large-eddy simulation of turbulent flows, and I now work on probabilistic approaches to simulating turbulence. My work sits where numerical analysis, fluid dynamics, and machine learning meet — and I enjoy building the software that makes those ideas runnable, fast, and differentiable.