As a research scientist in the Applied Computational Science group, I work on simulation and modelling of physical systems using numerical and data-driven methods. My current focus is agentic AI for scientific computing: AI systems grounded in physics-based simulators that make simulation-driven modelling faster and more accessible. This builds on my expertise in hybrid methods combining machine learning with differentiable simulators, and in high-performance computing, especially GPU computing.
Education
MSc Applied Computational Science and Engineering, 2021
Department of Earth Science and Engineering, Imperial College London, United Kingdom.
BSc Physics, 2020
Department of Physics, Imperial College London, United Kingdom.
Competence and research areas
- Agentic AI for scientific computing
- Scientific machine learning and hybrid simulation
- Numerical simulation and modelling
- High-performance computing and GPU programming
- Machine learning and computer vision
- Applications in reservoir simulation, geothermal energy, batteries, and carbon capture
Linkedin
https://www.linkedin.com/in/jakob-torben-32643aa3/
ORCID
https://orcid.org/0009-0002-9036-3739
