- Published an orbit-to-ground framework to decode and predict biosignature patterns in terrestrial analogues in Nature Astronomy.
- Co-authored State of AI for Earth Observation (preprint/whitepaper).
Research Experience
Was a part-time Senior Research Fellow, and Theme Lead of ML for Earth Observation and Remote Sensing, in the Oxford Applied and Theoretical Machine Learning lab (OATML) led by Yarin Gal at the University of Oxford.
Background
Research interests include AI, stats, earth observation.