Summary
Caitlin Eger is a design engineer and data scientist with nine years of interdisciplinary experience building models, simulations, and infrastructure designs at the intersection of environmental engineering and data analytics. She holds a PhD focused on stormwater chemistry and causal inference and has applied that expertise to green infrastructure research, large-scale literature syntheses, and applied site civil design for residential, solar, and battery energy storage projects. Caitlin blends statistical programming (R, Python), spatial analysis (ArcGIS), and systems design to turn multivariate environmental data into actionable insights and engineering plans. Her experience spans academia, government-focused contracting, and industry, including proposal development for federal RFIs/RFQs and dashboards for aviation logistics. Based in Ithaca, NY, she is comfortable moving between hands-on field experiments and production engineering work, a versatility rooted in early lab and ecological fieldwork that still informs her pragmatic, data-driven design approach.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Envionmental Science/Chemistry, Bachelor of Science (B.S.), Envionmental Science/Chemistry at Juniata College
Doctor of Philosophy (PhD), Civil and Environmental Engineering, Doctor of Philosophy (PhD), Civil and Environmental Engineering at Syracuse University
Master of Science (MS), Food, Ag and Biological Engineering, Master of Science (MS), Food, Ag and Biological Engineering at The Ohio State University