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Santiago Badia is a Professor of Computational Mathematics at Monash University. He obtained his PhD from Universitat Politècnica de Catalunya (UPC) in 2006. Prior to joining Monash in June 2019, he worked in the Applied Mathematics departments at Politecnico di Milano (Italy) and Sandia National Labs (New Mexico, USA). He was appointed Professor of Computational Science Engineering at UPC in 2017 and has been an adjoint researcher at CIMNE in Barcelona, leading the Large Scale Scientific Computing Department. His research focuses on numerical approximation of partial differential equations (PDEs) utilizing finite element methods, as well as modeling fluid-solid mechanics, electromagnetics, and multiphysics problems. He is particularly interested in large-scale scientific computing and numerical linear algebra, overseeing high-performance scientific projects, including FEMPAR, which provides advanced numerical discretizations for PDEs and scalable numerical linear algebra solvers. He spearheaded the Gridap project in 2019, which aims to develop an efficient PDE solver using functional programming in Julia. Badia's work also aligns with the UN Sustainable Development Goals, contributing significantly to sustainable development initiatives through computational science and engineering.
Monash University • Melbourne, Australia
Leading research in computational mathematics with a focus on large-scale numerical approximations and PDEs.
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