I am a Senior Researcher in Machine Learning at the Leverhulme Centre for Nature Recovery, University of Oxford.

I develop AI solutions for conservation and environmental challenges, specializing in computer vision and learning from noisy, limited data. My work has shown that elephant monitoring from satellite imagery is possible (featured on BBC and other outlets(£13M media value), 180+ citations), discovered 263 previously unregistered mines, and advanced methods for learning from crowdsourced labels (Best Paper Award at NeurIPS workshop).

I bridge theoretical ML innovation with real-world impact, combining deep learning and Bayesian methods to solve problems where data is messy, scarce, or unreliable. My research has generated 400+ citations across satellite imagery analysis, conservation technology, and disaster response.

Background: Previously Lecturer (Assistant Professor) at University of Bath (2019-2023) and Postdoctoral Researcher at Oxford (2017-2019). PhD from University of Sheffield (Springer Outstanding Thesis Award). Top reviewer at NeurIPS and ICML. ICML Social Chair 2020-2022.

I’m currently exploring research opportunities in industry.