Making Leaders: Movers in Our Orbit, Season 2 - Doing Impactful Work for Earth from Space

In this podcast series, we speak with friends of SSPI who recently made big executive moves. We’ll find out what they’re doing now and what they hope to achieve in their new roles in the industry. In the first episode of season 2, we hear from Kelsey Doerksen, Data Scientist with the Climate and Data Environment Unit at UNICEF and 2021 Promise Award Recipient.

Passionate to do impactful work for Earth, in space, Kelsey Doerksen is currently pursuing her PhD at the University of Oxford in the Autonomous Intelligent Machines and Systems Centre for Doctoral Training Program, in the Oxford Applied and Theoretical Machine Learning Group under supervision of Yarin Gal. She is focusing her research on the uses of AI and Machine Learning to enable science discovery and understanding of climate-focused applications (expected graduation, 2025). Kelsey is a Research Affiliate at the NASA Jet Propulsion Lab and a part of the Machine Learning and Instrument Autonomy group, working on the Scientific Understanding from Data Science Strategic Initiative. She is also a Data Scientist with the Climate and Data Environment Unit at UNICEF, building the data pipeline infrastructure and providing analysis necessary to create the UNICEF Children's Climate Risk Index.

Kelsey recently completed her Data Science Research Fellow position with UNICEF and European Space Agency F-lab, working on the Giga Initiative to use Earth Observation and AI to map schools in the global south and their access to electricity and the internet. She is a former Space Systems engineer at Planet on the Mission Operations team, using space to help life on Earth, and co-led the commissioning of 48 satellites for the Flock 4S commissioning campaign, publishing the work as part of the SmallSat 2021 conference.

Kelsey graduated from the Masters of Engineering Science in Electrical & Computer Engineering in the collaborative Planetary Science and Exploration Program at Western University in December 2019. Her thesis topic involved the utilization of machine learning algorithms for space weather applications, using in-situ satellite data. Kelsey’s Bachelors degree was in Aerospace Engineering: Space Systems Design with a Minor in Business at Carleton University, in which she further fostered her passion for one day becoming an astronaut. Spacecraft operations, machine learning, climate change and solar physics are some of her research-focused interests.