Summary
Diego Volpatto is a Staff Research Scientist with 12 years of experience in computational science and scientific software development, specializing in advanced finite element methods and multiscale porous media flow. He combines modern C++ and Python engineering with deep numerical analysis—developing and implementing hybridizable Discontinuous Galerkin and least-squares formulations for coupled flow, geochemistry, and geomechanics problems. Trained at LNCC (D.Sc., M.Sc.) and with a chemical engineering background, he brings domain expertise in thermodynamics for hydrocarbon and electrolyte systems alongside practical work in digital rock analysis and reactive transport. Diego routinely blends continuous optimization and machine learning techniques to accelerate and calibrate simulations, favoring evolutionary strategies for global search. Based in Rio de Janeiro, he bridges rigorous academic research and production-ready scientific software, often tackling ill-posed multiscale coupling challenges that require both algorithmic innovation and robust computational tooling.
12 years of coding experience
9 years of employment as a software developer
Federal University of Rio Grande do Norte
Master's degree, Computational Modeling, Master's degree, Computational Modeling at LNCC - Laboratório Nacional de Computação Científica
DSc - Doctor of Science, Computational Modeling, DSc - Doctor of Science, Computational Modeling at Laboratório Nacional de Computação Científica (National Laboratory for Scientific Computing/Brazil)
English, Spanish, Portuguese