Summary
Thomas Goossens is a researcher and mathematical engineer with 13 years of experience applying rigorous analytical methods to optics, metrology and imaging systems. He has translated deep academic work—including a PhD on patterned thin-film filters and a postdoc at Stanford collaborating with Google—into practical research at ASML on advanced camera and spectral imaging technologies. Equally at home in software, he has built DSLs for matrix computations and simulation tooling, demonstrating a talent for turning complex math into usable engineering products. A lifelong self-learner who seeks to exceed expectations, he blends critical thinking with hands-on development across R&D and product contexts. Based in the Netherlands, he publishes occasional technical and opinion pieces on his blog, signaling an interest in communicating ideas beyond academia. An outsider detail: his background spans both data-fusion for wearable networks and pixel-scale optics, reflecting unusually broad cross-disciplinary depth in sensing systems.
13 years of coding experience
Doctor of Philosophy - PhD, Engineering Science, Doctor of Philosophy - PhD, Engineering Science at KU Leuven
Postgraduate Programme in Innovation and Entrepreneurship in engineering, Summa cum laude, Postgraduate Programme in Innovation and Entrepreneurship in engineering, Summa cum laude at University of Leuven
Sint-ritacollege - kontich
Engineer’s Degree, Master of Engineering: Mathematical Engineering, Cum Laude, Engineer’s Degree, Master of Engineering: Mathematical Engineering, Cum Laude at Katholieke Universiteit Leuven
English, French, Dutch