Wouter Tonnon is a computational mathematician and PhD candidate at ETH Zürich specializing in structure-preserving numerical methods for partial differential equations, with five years of experience applying these techniques to science and engineering problems. He combines a strong theoretical background—cum laude in Electrical Engineering and top marks in Computational Science and Engineering—with hands-on industry work, having developed numerical solvers for full Maxwell equations at ABB that enabled substantial product-cost savings. Comfortable across domains from photonic integrated chip characterization to multi-agent systems, he emphasizes multidisciplinary collaboration and practical, explainable models. Known for meticulous problem decomposition and systems integration, he brings a rare blend of rigorous math and engineering pragmatism to optimize complex physical simulations.
5 years of coding experience
2 years of employment as a software developer
Master of Science, D-MATH: Computational Science and Engineering, 5.85/6.0, Master of Science, D-MATH: Computational Science and Engineering, 5.85/6.0 at ETH Zürich
TU Delft
Honors Academy: High Tech Systems track, good-excellent, Honors Academy: High Tech Systems track, good-excellent at Technische Universiteit Eindhoven
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