About Me
I am a PhD student in Machine Learning and Climate Science at the University of Oxford. My research focuses on aerosols, clouds, and their importance for climate change. I have also worked on data assimilation with diffusion models, computer vision in satellite data, and climate model emulation.
Interests
- Clouds and Precipitation
- Generative AI
- Extreme events
Education
PhD Atmospheric Physics
University of Oxford
MASt Applied Mathematics and Theoretical Physics
University of Cambridge
BSc Physics
Universität Heidelberg
📚 My Research
I am a PhD student researching aerosols-cloud interactions, climate change, and weather forecasting.
I am passionate about applying physics and Machine Learning to problems in climate change and atmospheric science.
🤝 Please reach out to collaborate!
Featured Publications
Recent Publications
(2024).
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales.
arXiv preprint arXiv:2406.16947.
(2024).
Weak liquid water path response in ship tracks.
EGUsphere.
(2023).
Pollution tracker: Finding industrial sources of aerosol emission in satellite imagery.
Environmental Data Science.
(2023).
Rapid saturation of cloud water adjustments to shipping emissions.
Atmospheric Chemistry and Physics.
(2022).
Invisible ship tracks show large cloud sensitivity to aerosol.
Nature.