Elizabeth Gibson is a data scientist with a strong epidemiology and biostatistics foundation, blending eight years of experience across public health research and applied analytics. After earning advanced training at Columbia and Emory, she moved from environmental health and epidemiologic research roles into causal inference and production data science at Netflix. Her background spans rigorous study design and applied machine learning, enabling her to translate complex public-health questions into scalable product insights. Based in New York, she pairs academic depth—PhD-level environmental health expertise—with hands-on industry impact, including a postdoc at Harvard T.H. Chan and an internship that bridged research and product. Notably, her career path reflects an uncommon pivot from field-focused environmental conservation work to high-impact data science in entertainment and health contexts.
8 years of coding experience
Master of Public Health (MPH), Epidemiology, Applied Biostatistics, Master of Public Health (MPH), Epidemiology, Applied Biostatistics at Columbia University Mailman School of Public Health
PhD, Environmental Health Sciences, PhD, Environmental Health Sciences at Columbia University in the City of New York
BA, Environmental Science, BA, Environmental Science at Emory University
Contributions:273 commits, 112 pushes in 4 years 4 months
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