Summary
Charlie Weil is a Technical Team Lead and environmental data scientist with a decade of experience building data-driven tools and leading research software teams across Stanford and EPFL. He designs and implements open science and data strategies, manages multidisciplinary teams of engineers, and secures funding for software and data projects while using agile methods to deliver everything from short prototypes to multi-year platforms. His work blends ecosystem-services modeling, machine learning (including object detection on satellite imagery), and interactive data visualization to inform conservation and policy decisions globally. He has led high-impact stakeholder engagement and training programs—reaching thousands of users and local decision-makers—and mentored dozens of students into production-ready projects. Based in Palo Alto with Swiss ties, Charlie brings an unusual mix of hands-on prototyping, spatial data expertise, and organizational leadership rooted in environmental engineering. Colleagues note his visual-thinking approach and knack for turning complex ecological models into accessible, decision-support tools.
10 years of coding experience
5 years of employment as a software developer
Baccalauréat Science, Baccalauréat Science at Lycée Lavoisier
Johns Hopkins University
Master of Science (M.Sc.) Environmental Engineering, Master of Science (M.Sc.) Environmental Engineering at EPFL
Master thesis Environmental Data Analysis, Master thesis Environmental Data Analysis at Stanford University
English, French, German, Spanish