My research is in Geometric Numerical Integration and machine learning. In the context of Geometric Numerical Integration, I uses ideas from geometry to make numerical integrators more reliable in long-term simulations. In the context of machine learning, I exploit prior geometric information to improve data-based predictions of dynamical systems. Moreover, I combines geometry-informed machine learning methods with techniques for model uncertainty quantification for assessing the reliability of data-driven predictions and to quantify the benefits of geometric prior knowledge.

I received a MSc in Mathematics from the University of Hamburg, Germany, in 2016, then moved to Palmerston North, New Zealand, where I was awarded a PhD in Mathematics in 2020 from Massey University. Within my PhD studies in 2019, I spent half a year at the Isaac Newton Institute of the University of Cambridge within a scientific programme on structure preservation in numerical integration. From 2020-2025 I held postdoctoral positions (Postdoctoral Researcher and Senior Researcher) at Paderborn University, Germany. In 2025 I was appointed as an Assistant Professor at the University of Birmingham.

• BSc Mathematics, University of Hamburg (Hamburg, Germany), 2014
• MSc Mathematics, University of Hamburg (Hamburg, Germany), 2016
• PhD in Mathematics, Massey University (Palmerston North, New Zealand), 2020