Aaron Wienkers is a postdoctoral researcher at ETH Zürich who combines a PhD in applied mathematics and theoretical physics with eight years of hands-on experience pushing the limits of ocean–atmosphere and astrophysical fluid dynamics. He leads evaluation of high-resolution European earth-system models, develops GPU/ML-accelerated pipelines for petabyte-scale climate data, and pioneers causal-discovery methods to expose mesoscale air–sea feedbacks. His work spans theory, HPC, and software: from Fortran DNS codes and hybrid MPI/OpenMP solvers to JAX/CUDA/Dask data stacks for exascale workflows. Notably, he has reduced uncertainty in CO2 and heat uptake estimates, accelerated LES by >400% via novel subgrid models, and supervised cross-disciplinary teams translating small-scale physics into improved model fidelity. Based in Zurich, he brings an unusual blend of deep fluid-mechanics intuition, large-scale data engineering, and a proven record of saving millions of CPU-hours through clever reduced-order and parallel methods.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc), Mechanical Engineering (Fluid Dynamics Specialisation), Valedictorian, Bachelor of Science (BSc), Mechanical Engineering (Fluid Dynamics Specialisation), Valedictorian at University of California, Berkeley
Trinity College — Doctor of Philosophy (PhD), Applied Mathematics & Theoretical Physics, Trinity College — Doctor of Philosophy (PhD), Applied Mathematics & Theoretical Physics at University of Cambridge
Centre for Turbulence Research — Master of Science (MSc), Flow Physics & Computational Engineering, 4.0/4.0, Centre for Turbulence Research — Master of Science (MSc), Flow Physics & Computational Engineering, 4.0/4.0 at Stanford University
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Aaron Wienkers - Postdoctoral Researcher at ETH Zürich