CV

Education

• PhD, Technical University of Munich, 2021-present
• MSci Physics, University of Cambridge, 2015
• BA Natural Sciences, University of Cambridge, 2014

Work Experience

• Sep 2024-present: Visiting Student Researcher, Caltech
• 2021-present: Research Assistant, Technical University of Munich
• 2021-present: Guest Scientist, Potsdam Institute for Climate Impact Research
• 2020-2021: Data Scientist, Planetly GmbH, Berlin, Germany (acquired by OneTrust LLC)
• 2015-2018: Quantitative Trader, UBS Investment Bank, London, UK

Publications

1. Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, and Niklas Boers. Projected Neural Differential Equations for Learning Constrained Dynamics. arXiv preprint arXiv:2410.23667, 2024. Read more

2. Christof Schötz, Alistair White, Maximilian Gelbrecht, and Niklas Boers. Machine learning for predicting chaotic systems. arXiv preprint arXiv:2407.20158, 2024. Read more

3. Sungduk Yu and Zeyuan Hu et al. ClimSim-Online: A large multi-scale dataset and framework for hybrid ML-physics climate emulation. arXiv preprint arXiv:2306.08754, 2024. Read more

4. Milan Klöwer, Maximilian Gelbrecht, Daisuke Hotta, Justin Willmert, Simone Silvestri, Gregory L. Wagner, Alistair White, Sam Hatfield, Tom Kimpson, Navid C. Constantinou, and Chris Hill. SpeedyWeather.jl: Reinventing atmospheric general circulation models towards interactivity and extensibility. Journal of Open Source Software, 2024. Read more

5. Alistair White, Niki Kilbertus, Maximilian Gelbrecht, and Niklas Boers. Stabilized neural differential equations for learning dynamics with explicit constraints. In Advances in Neural Information Processing Systems, 2023. Read more

6. Maximilian Gelbrecht, Alistair White, Sebastian Bathiany, and Niklas Boers. Differentiable programming for Earth system modeling. Geoscientific Model Development, 16(11):3123–3135, 2023. Read more

Teaching

• Modeling and Machine Learning of Dynamical Systems in Julia, Co-creator and Lecturer, Technical University of Munich, 2021-present

Peer Review

• ICLR 2025
• NeurIPS 2024 Workshop on Data-Driven and Differentiable Simulations, Surrogates, and Solvers
• ICML 2024 Workshop on Machine Learning for Earth System Modeling
• ICLR 2024 Workshop on AI4DifferentialEquations in Science