David is an AI and ML Data Scientist as part of NEODAAS. He works on applying Artifical Intelligence and Machine Learning techniques to Earth Observation data to formulate a better understanding of the natural world.
David is an applied AI researcher. His background is in applied AI, with a focus on audio and time series data, after having studied Artificial Intelligence and Computer Science(BSc) at Edinburgh University, before studying digital signal processing, digital music processing and computer science at Queen Mary University of London (MSc. and PhD). Since then, he has worked as a post doctoral researcher and academic.