Kelsey Doerksen
Kelsey Doerksen is a PhD Candidate in Autonomous Intelligent Machines and Systems at the University of Oxford, a part of the Oxford Applied and Theoretical Machine Learning Group (OATML). Kelsey's research focuses on the utilization of AI with Earth Observation data to tackle global climate and humanitarian problems. She is a Research Affiliate
at the NASA Jet Propulsion Lab with the Machine Learning and Instrument Autonomy Team, working on the Scientific Understanding from Data Science Initiative to understand the drivers of air pollution. Kelsey is also a joint Research Fellow with UNICEF and the European Space Agency working on the Giga project, using EO and AI to connect every child to the internet by 2030. Kelsey was previously a satellite operator at Planet, operating the world's largest Earth Observation satellite constellation. She holds a Masters degree from the University of Western Ontario in Electrical and Computer Engineering, and a Bachelor's degree in Aerospace Engineering: Space Systems Design from Carleton University.