Summary
Enrico Zorzetto is an Assistant Professor and former Princeton postdoctoral researcher with eight years of experience in Earth system modeling, stochastic hydrology, and boundary layer turbulence. His work blends statistical extreme value theory with remote sensing and nonlinear dynamics to better represent land-atmosphere interactions—recently focusing on snow cover and complex topography effects on shortwave radiation in Earth System Models. He has a PhD from Duke and dual Italian degrees with highest honors, and has applied his expertise in both research and teaching roles across Duke, Princeton, and international institutions. Enrico’s background uniquely couples rigorous statistical modeling of rainfall extremes with hands-on insight into turbulent boundary-layer processes, enabling cross-scale synthesis from satellite data to model parameterizations. Based in Socorro, New Mexico, he continues to translate theoretical advances into practical improvements for hydrologic and climate model fidelity. For deeper detail on his methods and publications, his research web page aggregates code, data, and manuscripts.
8 years of coding experience
3 years of employment as a software developer
Master of Science in Civil and Hydraulic Engineering, Civil Engineering, 110/110 cum laude, Master of Science in Civil and Hydraulic Engineering, Civil Engineering, 110/110 cum laude at Università degli Studi di Padova
Doctor of Philosophy - PhD, Earth and Ocean Sciences, Doctor of Philosophy - PhD, Earth and Ocean Sciences at Duke University
Postdoctoral research, Hydrology and Water Resources Science, Postdoctoral research, Hydrology and Water Resources Science at Princeton University
Italian, English