About

Employment

2021-Present: PhD candidate, Scientific Computing group, Centrum Wiskunde & Informatica (CWI), Amsterdam, the Netherlands
2020-2021 (6 months): Software Engineer, INRIA/Ecole Polytechnique, Palaiseau, France
2020 (6 months): Research intern, multi-disciplinary optimization, IRT Saint Exupéry, Toulouse, France

2015-2020: Master of Applied Sciences and Technology, applied mathematics, INSA Toulouse, France
2018-2019: Exchange year, theoretical mechanics and applied mathematics, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
2012-2015: Asker Upper Secondary School, Norway

S. D. Agdestein and B. Sanderse. "Discretize first, filter next: learning divergence-consistent closure models for large-eddy simulation". In: arXiv [math.NA] (2024). doi: 10.48550/arXiv.2403.18088
S. D. Agdestein and B. Sanderse. "Discretize first, filter next – a new closure model approach". In: Eccomas2022 (2022). doi: 10.23967/eccomas.2022.094
S. D. Agdestein, T. N. Tran, J.-R. Li. "Practical computation of the diffusion MRI signal based on Laplace eigenfunctions: permeable interfaces". In: NMR in Biomedicine 35.3 (2022), e4646. doi: 10.1002/nbm.4646
S. D. Agdestein, K. Valen-Sendstad and A. K. Diem. "Artery.FE: An implementation of the 1D blood flow equations in FEniCS". In: Journal of Open Source Software, 3.32 (2018), p. 1107, doi: 10.21105/joss.01107