Summary
Ruth Lorenz is a Scientific Programmer and Climate Data Specialist with a decade of experience applying statistical and computational methods to large climate model and observational datasets. Based at ETH Zürich, she develops and implements novel approaches for combining and weighting multi-model ensembles (e.g., CMIP) to reduce projection uncertainties, while contributing code and evaluation tools in interdisciplinary teams. Her background spans postdoctoral research on land–atmosphere feedbacks at UNSW to supervising students and coordinating Horizon 2020 projects, reflecting strong research, project management, and reproducible software skills. Ruth pairs a PhD in Atmosphere and Climate with hands-on expertise in Python, NCL, and Git, and is particularly focused on turning complex model output into actionable insights about extremes and climate feedbacks.
10 years of coding experience
12 years of employment as a software developer
Doctor of Science - PhD, Atmosphere and Climate, Doctor of Science - PhD, Atmosphere and Climate at Eidgenössische Technische Hochschule Zürich
Erasmus Semester, Erasmus Semester at Lunds tekniska högskola
Bachelor of Science - BS, Environmental Science, Bachelor of Science - BS, Environmental Science at ETH Zürich
German, English, Swedish, French