Christine Muthee is a nonresident fellow at the GeoTech Center of the Atlantic Council and a data scientist and technical expert in environmental physics and climate-centered artificial-intelligence (AI) technology. She is currently a developer in delivering the National Aeronautics and Space Administration’s Goddard Earth Observing System composition forecast and pollution source insights using satellite data in African cities. In her current role as a data scientist and technical data leader at World Resources Institute Africa, under the thriving and resilient cities pillar, she supports the science and delivery of technology in low-resource environments to drive policy and support government action towards climate change mitigation.

Previously, she worked in a nationally accredited testing and verification laboratory to develop frameworks needed to support emerging technology uptake with a focus on robustness in remote and unstable environments, scalability, transparency, and use of technology where thriving humans and nature are at the center of development. Muthee has been a vocal advocate for human and nature-focused use of AI as evidenced in panel discussions she has participated in, the Data Science hackathons and communities she coordinates, and the papers she has co-authored.

Muthee is currently pursuing her master’s degree in engineering artificial intelligence at Carnegie Mellon University Africa, where her research is focused on the use of AI for climate shock response in Africa. She has a bachelor’s degree in renewable energy and environmental physics from the Technical University of Mombasa, a postgraduate diploma in Data Science and Machine Learning, and a professional certification in data science for decision-making from the Massachusetts Institute of Technology.