University of Oxford • PhD Student

Kelsey Doerksen is a PhD student at the University of Oxford in the Autonomous Intelligent Machines and Systems Centre for Doctoral Training Programme, focusing her research on utilizing space-based data and machine learning to enable science discovery. She holds a Masters Degree in Electrical and Computer Engineering in the Collaborative Planetary Science and Exploration Program from the University of Western Ontario, and a Bachelor's Degree in Aerospace Engineering, Space Systems Design with a Minor in Business from Carleton University. Kelsey has over 2 years of experience as a Space Systems Engineer in Satellite Operations at Planet, operating the world’s largest Earth Observation satellite constellation, and co-led the commissioning campaign for Planet’s Flock 4S 48 SuperDove satellite launch in January 2021. Previously, Kelsey was a Visiting Researcher at the NASA Jet Propulsion Lab in the Machine Learning and Instrument Autonomy Group, developing Machine Learning tools for Mars rovers, and a Researcher at l’Observatoire de Paris with the Space Weather and Celestial Mechanics groups. In 2021, Kelsey was awarded the Space and Satellite Professional’s International 20 under 35 Promise Award, recognizing her as a leader of the year's cohort of professionals. Outside of work, she volunteers her time with a variety of organizations; Kelsey was the Manager for the Space Generation Congress 2021, the Space Generation Advisory Council’s annual meeting in support of the United Nations Programme on Space Applications, a mentor for the Zenith Canada Pathways Foundation and Carleton University’s Alumni Mentor Program, and one of the conference coordinators for the Oxford Womxn in Computer Science society.


International Astronautical Congress 2022

18-22 September 2022

Paris, France