Andre Erler is a Senior Climate Scientist based in Waterloo with 11 years of experience running high-resolution hydro-climatological and hydrologic models on HPC clusters and turning their outputs into actionable insights. He holds a PhD in Climate Physics from the University of Toronto and blends deep expertise in numerical weather prediction, remote sensing, and statistical analysis with strong Python programming and HPC workflow engineering. At Aquanty he leads climate simulation efforts used for operational hydrology, mentors students, and bridges modeling work with stakeholder-driven applications in climate adaptation, energy and food security. He is an early adopter of machine learning for Earth science problems and co-hosts an Environmental Data Science discussion group, reflecting a habit of translating cutting-edge methods into interdisciplinary collaboration. Notably, he has built fully autonomous, resilient modeling pipelines for long integrations that prioritize crash recovery and on-the-fly preprocessing—skills that make large-scale, continuous simulations practical and reliable.
10 years of coding experience
11 years of employment as a software developer
Master's degree, Atmospheric Sciences and Meteorology, Master's degree, Atmospheric Sciences and Meteorology at Johannes Gutenberg-Universität Mainz / University of Mainz
Bachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at Darmstadt University of Technology
Doctor of Philosophy (PhD), Climate Dynamics and Climate Modeling, Doctor of Philosophy (PhD), Climate Dynamics and Climate Modeling at University of Toronto
Exchange Student, Physics, Exchange Student, Physics at National University of Singapore / NUS
Contributions:331 commits, 4 PRs, 290 pushes in 6 years 5 months
pythongeopysimulationsset-upgis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.