- In 'Journal of the Royal Society Interface': Machine learning-based optimal design of fibrillar adhesives
- In 'Journal of Computational Physics': Symbolic regression of data-driven reduced order model closures for under-resolved, convection-dominated flows
- In 'Machine Learning: Science and Technology': Discovering interpretable physical models using symbolic regression and discrete exterior calculus
Research Experience
Associate Professor at the Department of Mechanical and Production Engineering, Aarhus University. Involved in the ALPS project (2022-present), which focuses on AI-based learning for physical simulation.
Background
Areas of expertise include continuum mechanics, machine learning, and computational mechanics.