Jack Elsey is an environmental statistician with a decade of experience applying statistical and numerical models to real-world remediation challenges, currently driving analytics at CDM Smith in Boston. He earned a PhD in Environmental and Water Resources Engineering from Tufts, where he published multiple papers and ran large-scale Monte Carlo experiments and machine learning interpolation for subsurface bioremediation studies. His background spans field project leadership and safety management on complex remediation sites, technical translation between English and Chinese, and founding an educational startup that builds language-learning tools. Jack combines hands-on field insight with rigorous computational methods to quantify uncertainty in microbial and contaminant transport models, and he’s investigated novel cross-contaminant effects such as PFAS inhibition of bioremediation.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Environmental and Water Resources Engineering, Doctor of Philosophy - PhD, Environmental and Water Resources Engineering at Tufts University
Contributions:161 pushes, 1 branch in 3 years 8 months
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