Summary
Sarah Kelley is a data science and AI leader with 11 years of experience applying cutting-edge methods to social science and research challenges, currently directing OutcomesAI at Project Evident to help nonprofits leverage AI for measurable impact. She previously co-led Data Science at Child Trends, where she shaped organizational strategy, mentored teams, and developed explainable algorithms to increase transparency in algorithmic decision-making. Her work spans generative AI for streamlining systematic reviews, AI tools for technical writing, and end-to-end data pipelines informed by rigorous statistical training from Yale and an MIDS from UC Berkeley. Known for bridging research and production, she has a track record of translating messy, real-world data into actionable insights and policy-relevant evidence.
11 years of coding experience
11 years of employment as a software developer
Masters of Information Data Science Data Science, Masters of Information Data Science Data Science at University of California, Berkeley
Bachelor of Arts (BA) Quantitative Sociology, Bachelor of Arts (BA) Quantitative Sociology at Yale University
English, Spanish