Summary
Rémi Cousin is a senior data and climate information leader with 17 years of experience designing and operating web-based data platforms that translate climate science into practical tools for decision-makers. As Data Library Manager at Columbia’s IRI he leads teams of engineers and scientists to steward a petabyte-scale public data platform serving tens of thousands of monthly users, migrating legacy stacks to Python-based scientific tooling and modern web apps. He blends hands-on scientific programming (xarray, numpy, pandas, Dash/Plotly, geospatial libs) with program management, capacity building, and technology transfer to partner institutions in about 20 countries. His work spans research, product design, and operational delivery—turning research algorithms (e.g., soil-plant-water-balance, extended logistic regressions) into reproducible, user-focused services. Notably, he has a background in oceanography and operational forecasting tools, which informs his pragmatic approach to complex environmental data. Based in New York, he thrives at the intersection of open data, applied science, and user-centered climate services.
18 years of coding experience
13 years of employment as a software developer
UNESCO International Short Courses, Oceanography, UNESCO International Short Courses, Oceanography at Universidad de Concepción
Ingénieur Civil des Mines (Master Degree), Sciences, Geo-engineering, Executive skills, Ingénieur des Mines, Ingénieur Civil des Mines (Master Degree), Sciences, Geo-engineering, Executive skills, Ingénieur des Mines at Ecole Nationale Supérieure des Mines de Nancy
English, French, Spanish