Summary
Bino Maiheu is an environmental R&D scientist and engineer with a PhD in experimental physics and over a decade of experience building numerical simulation tools and data pipelines for air quality, urban climate and water management. He blends deep computational fluid dynamics expertise (OpenFOAM) with hands-on data science, HPC Linux administration and low-level programming in C/C++ and Fortran, alongside higher-level work in Python, MATLAB and Perl. His career spans national and EU research projects, operational modelling for policymakers, and applied sensor and multiphysics work for groundwater IoT systems. Notably, he has led machine-learning air quality prediction efforts and run urban meteorological campaigns while also contributing to international scientific workshops and technical training, including capacity building for Chinese partners. Based in East Flanders, he pairs rigorous experimental instincts from particle-physics research with pragmatic software engineering to turn complex environmental measurements into decision-ready models and tools.
10 years of coding experience
15 years of employment as a software developer
Ph.D., Experimental Particle Physics, Ph.D., Experimental Particle Physics at Ghent University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Ghent, Belgium