Connor Van Meter is a Data Scientist and Data & AI Senior Consultant with eight years of experience applying epidemiology and analytics to public health problems across academia, consulting, and government. He holds an MSPH in Epidemiology from Emory and a BA in Mathematics from Washington University, and has moved between roles at Accenture, the CDC, Deloitte, and Emory where he now works on data-driven health research. Connor blends hands-on data engineering and AI consulting with domain expertise from frontline emergency medical work and epidemiologic research, enabling practical, policy-relevant insights. Notably, his background spans both enterprise analytics delivery for state health systems and research-focused modeling at Emory’s EpiModel lab, giving him a rare mix of production experience and academic rigor.
8 years of coding experience
5 years of employment as a software developer
Master of Science in Public Health (MSPH), Epidemiology, Master of Science in Public Health (MSPH), Epidemiology at Emory University
Bachelor of Arts (BA), Mathematics (Statistics) and Anthropology (Public Health), Bachelor of Arts (BA), Mathematics (Statistics) and Anthropology (Public Health) at Washington University in St. Louis
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