Luan Da Fonseca Santos is a postdoctoral researcher at Princeton University working with NOAA-GFDL’s FV3 team to improve numerical algorithms for weather and climate models. With a 2024 PhD in Applied Mathematics from the University of São Paulo and eight years of experience, he specializes in finite-volume/difference methods, grid generation, and transport schemes for geophysical fluid dynamics. His work has produced peer-reviewed publications and practical model enhancements—such as low-overhead transport schemes and topography-based refined grids for NCAR MPAS—demonstrating a strong balance of theory and implementable code. He has taught numerical analysis and computational methods at USP and frequently presents at international conferences, reflecting both pedagogy and outreach skills. Based in New Jersey, he combines rigorous applied-math foundations with hands-on software development for operational modeling, and he’s known for delivering algorithmic improvements that minimize computational cost while boosting fidelity.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Luan Da Fonseca Santos - Postdoctoral Research Associate