I'm Rafael, a PhD student in Scientific Computing with specialization in Numerical Analysis at Uppsala University,
working under the supervision of Murtazo Nazarov and co-supervised by Ricardo Vinuesa and Mats Holmström.
My research project, Optimal Control of Fusion Processes, focuses on highly accurate magnetohydrodynamic (MHD) simulations using finite element methods. The goal is to solve optimization problems for plasma stabilization and to explore deep reinforcement learning for real-time control. This work has the potential to contribute to the development of feasible fusion energy reactors: a potentially limitless source of sustainable energy.
Before joining my current group, I completed my MSc in Computational Science at Uppsala University and my BSc in Theoretical Physics at University of Seville.
Outside my research, I enjoy teaching, science communication, playing piano and bouldering.
- Theoretical & Computational Physics
- Scientific Computing (C++, Python ...)
- Machine Learning & Data Analysis
- University Teaching