I'm a researcher at SINTEF in the Artificial Intelligence and Analytics research group based in Oslo, where I am currently working on application of AI to industrial problems. In particular, we focus on hybrid-AI, which is a field that intgrates domain knowledge, such as physics, with machine-learning. We work on a range of problems, my current favourite topic is: developing and extending symplectic neural networks to learn physics from real world data.
My interests lie broadly within programming in Python, computational physics, numerical analysis and, more recently, artificial intelligence. In particular, I have partaken in projects involving:
physics-informed machine learning,
energy-preserving and symplectic numerical methods for ODEs/PDEs,
numerical methods for particles in fluids,
discrete dynamical integrable systems,
geometric properties of Runge-Kutta methods, and
mimetic finite-difference methods for wave equations on curvilinear coordinates.
BSc, Physics, University of Western Australia, 2012-2015.
MSc, Computational Physics, University of Western Australia, 2015-2016.
PhD, Applied Mathematics, Norwegian University of Science and Technology, 2017-2021.
Software Engineer for the data and analytics platform at DNB, Norway's largest bank, 2021-2022.
Lecturer in numerical analysis and Python programming at NTNU, 2019-2020.
Competitive swimming coach for various clubs and high schools in Perth, 2012-2017.