I've been working in the Mathematics and Cybernetics department since 2014, now as a research scientist in the Computational Geosciences research group. Between 2017 and 2020, I did my PhD on efficient mathematical methods for prediction of drift trajectories in the ocean, and prior to that I worked in various EU projects in the Heterogeneous Computing research group.
Education
PhD in Mathematical Sciences, NTNU, 2020. "Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs"
Master's degree in Industrial Mathematics, NTNU, 2014. "A CUDA Back-End for the Equelle Compiler"
Competence and research areas
Even though it is now possible to run large and accurate simulations of many complex geophysical processes, we are often faced with practical limitations due to uncertain model parameters or initial states.
My expertise lies in the intersection between statistical mathematics, numerical simulation, and high-performance computing. I work on mathematical methods that incorporate noisy and partial observations into numerical simulations of geophysical systems using ensemble-based data assimilation.
