Cindy Chiao is a data scientist with a decade of experience applying numerical modeling and scientific computing to climate and water-resource problems, currently leading sustainability and transformation efforts at Winbond. She has built climate products at Meta and CarbonPlan, and scaled data-driven decision-making through multiple senior data science roles at Lyft. Proficient in Python and large-scale data workflows, she pairs rigorous academic training (MSE/MS from University of Michigan) with practical consulting experience translating technical results for stakeholders. Cindy’s background in ecology and fieldwork—studying wildlife conservation in Tanzania—gives her a systems-thinking perspective that informs robust, interdisciplinary solutions.
10 years of coding experience
12 years of employment as a software developer
Master of Science in Engineering (MSE) Environmental and Water Resources Engineering, Master of Science in Engineering (MSE) Environmental and Water Resources Engineering at University of Michigan
Wildlife Ecology and Conservation in Tanzania, Wildlife Ecology and Conservation in Tanzania at School for International Training
B.A. Biology and Environmental Studies, B.A. Biology and Environmental Studies at Carleton College
Contributions:43 commits, 45 pushes, 1 branch in 3 years 2 months
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