Megan Bela is a Senior Research Scientist at Google with nine years of experience at the intersection of atmospheric science, environmental engineering, and AI-driven weather and air quality forecasting. She holds a PhD in Atmospheric and Oceanic Sciences and advanced degrees from Stanford, and has led R&D to improve how fires and clouds are represented in operational and research models used by NOAA and other agencies. Megan has experience supporting major field campaigns (FIREX-AQ, CalFiDE, DC3, SAMBBA) and translating airborne observations into model improvements that feed national forecasting systems. At Google she applies that domain expertise to develop AI-enabled weather and air quality solutions that bridge research and production. Known for combining rigorous physical science with practical engineering, she routinely moves complex atmospheric research into operational tools. An often-overlooked strength is her bilingual background in Spanish/Portuguese, which has supported international field work and collaboration.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Atmospheric and Oceanic Sciences, Doctor of Philosophy - PhD, Atmospheric and Oceanic Sciences at University of Colorado Boulder
Bachelor of Science - BS, Environmental Engineering, Honors in Environmental
Sci., Tech. and Policy, Spanish/Portuguese Minor, Bachelor of Science - BS, Environmental Engineering, Honors in Environmental
Sci., Tech. and Policy, Spanish/Portuguese Minor at Stanford University
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