Information
📍 GitHub | |
📚 Organization | NASA Jet Propulsion Laboratory |
🔨 Linkedin | |
🔗 Google Scholar |
Bio
Kelsey Doerksen is a 3rd year PhD Candidate in the Autonomous Intelligent Machines and Systems Program at the University of Oxford, a part of the Oxford Applied and Theoretical Machine Learning Group. Her research focuses on the utilization of AI with Earth Observation data to tackle global climate and humanitarian challenges. Kelsey was previously a Visiting Researcher at the NASA Jet Propulsion Laboratory with the Machine Learning and Instrument Autonomy Team, working on the Scientific Understanding from Data Science Initiative to understand the drivers of air pollution. She has two years of experience as a satellite operator at Planet, operating the world's largest Earth Observation satellite constellation. Kelsey 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.