Christine Muthee is a Data Scientist and a technical expert in environmental physics and Climate Centered AI technology. She is currently a developer in delivering NASA’s GEOS-CF Bias Corrected Forecasts and pollution source insights using satellite data in African cities. This technology utilizes already invested science, corrects for bias using machine learning, and translates it to produce high-resolution, locally relevant data to influence policies around air quality in African Cities. In her current role as a Data Scientist and technical data leader in the global think tank, 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. Her experience in setting up data infrastructure and development of AI products in Africa has been inherently valuable in scaling down global advancements in technology to suit local needs and bridging the data and technology gap existing in the policy space.
Christine has 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 is at the center of development. She 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. She is currently taking her Masters’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 Using Data Science for decision-making from the Massachusetts Institute of Technology.