PhD Project: Detection, Classification and Prediction of Forest Mortality using Remote Sensing and Machine Learning. Funding: AI4ER CDT. Supervisors: Emily Lines & Stuart Grieve.
I am a PhD student at Trinity Hall, Cambridge. My research interests are broadly within the intersection of forest ecology with machine learning and data science. Specifically, my work uses contemporary computer vision to identify, monitor and predict forest mortality rates at scale using high resolution earth observation data from satellites and UAVs. I am also interested in the application of deep learning to non-Euclidean data such as point clouds, particularly within the context of ecology.
Prior to my PhD I undertook an MEng in Information and Computer Engineering at Trinity Hall, Cambridge and an MRes in Environmental Data Science at Pembroke College, Cambridge.