
Markus Renoldner
Research Fellow · Numerical Analysis
Swiss Federal Institute of Technology in LausanneAbout
Markus Renoldner is a Doctoral Assistant at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences, Institute of Mathematics, specifically within the Chair of Numerical Modelling and Simulation (MNS) and the Picasso Group. His office is located at MA C2 622 in Building MA, Station 8, 1015 Lausanne.
His educational background includes Doctoral studies in Mathematics at EPFL (2023-present), MSc in Computational Science and Engineering at TU Wien (2021-2023), Master's Thesis in Applied Mathematics at ETH Zürich (2022-2023), and an Exchange semester in Applied and Computational Mathematics at KTH Stockholm (2022).
Renoldner specializes in numerical analysis of partial differential equations (PDEs), with current research focusing on Finite Element approximation of solutions to PDEs in fusion plasma physics. His work spans PDE theory and control systems engineering, as evidenced by his GitHub repositories containing numerical implementations for Navier-Stokes equations and shallow water models. His publications demonstrate expertise in developing mass, energy, and helicity conserving discretization methods for fluid dynamics problems.
His professional experience includes simulation engineering at Team Tumbleweed (2021-2024), a visiting associate position at Boston Consulting Group (2021), systems engineering at RUAG Space (2020), and data analysis at KPMG (2017). He has also held leadership roles including CEO for one month at Adecco Group (2020) and Vorstand/Consultant at icons - consulting by students (2017-2020).
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