I am a Lecturer in AI at Imperial College London in the Department of Earth Science and Engineering and lead the Scalable Scientific Machine Learning Lab. I also hold a Schmidt AI in Science Fellowship at I-X. The goal of our lab is to accelerate scientific research by designing scientific machine learning algorithms (blending scientific understanding with ML) and applying them to impactful problems across Earth science, space science and other scientific domains. We work on techniques such as physics-informed neural networks, hybrid ML-numerical models, and learnable algorithms for inverse problems, and have applied them to accelerate multi-scale seismic simulation, de-noise low-light satellite images of the Moon's surface, and track elephants in Kenya. We collaborate with many academic and industry partners, including NVIDIA, NASA, University of Oxford, and ETH Zürich.New lab website coming soon!