About
Applies machine learning to scientific discovery and large-scale optimisation.
Research interests
PhD supervision
Recruiting doctoral researchers in scientific machine learning.
Publications
Advances in Artificial Intelligence: a five-year review
Nature Energy · 2025 · 10.1000/demo.0d690f3c
Scalable approaches to graph neural networks for practical deployment
Joule · 2024 · 10.1000/demo.41e665a5
Characterising scientific ML under realistic operating conditions
Energy & Environmental Science · 2023 · 10.1000/demo.0dedb31f
Current projects
Next-generation artificial intelligence at scale
A multi-year programme led by Prof. David Lindqvist focused on graph neural networks and scientific ML.
Artificial Intelligence · ongoing · Funding: National research council grant
Open PhD positions
PhD position in artificial intelligence (graph neural networks)
Join the group of Prof. David Lindqvist at ETH Zurich to work on graph neural networks, scientific ML, optimisation.
Deadline 2026-11-06 · Fully funded