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With a doctorate in Environmental Health Science and 29+ years of experience working as a researcher, senior scientist, and adjunct professor (UC Berkeley, San Diego State University, Stanford University), Neil is an expert in environmental data analysis and building and testing mathematical models of indoor air quality, particle dynamics, human activity, and human exposure. He uses the results of chamber experiments and field studies to investigate real-world exposures and help develop reliable and powerful real-time monitoring and feedback systems for reducing exposure. As part of his work, Neil creates technical software in R, Python, and Julia to analyze, visualize, and model complex data. He has a strong interest in creating accessible products that enable the public, and especially youth, to leverage the power of Data Science and Citizen Science for exploring, learning, and communicating about the determinants of health.