Summary
Hannes Vandecasteele is a research engineer with eight years of experience at the intersection of computational chemistry, scientific machine learning, and high-performance simulation. He has developed novel multiscale and sampling methods—most notably a micro-macro MCMC framework applied to proteins—and translated those theories into production-ready scientific software during a postdoctoral stint at Johns Hopkins. Comfortable across C++, Python, and numerical toolchains, he has accelerated numerical simulations and integrated physics engines for AR applications, showing a rare mix of theoretical rigor and practical engineering. Based in Baltimore, he now advances research-driven engineering at Campbell, bringing both award-winning academic work and hands-on systems experience to complex simulation and ML problems.
8 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Mathematical Engineering, Summa Cum Laude, Master of Science (M.S.), Mathematical Engineering, Summa Cum Laude at University of Leuven
English, Dutch, French