Summary
Julien Brun is an environmental data scientist and research facilitator with 11 years of experience building reproducible, data-driven workflows to solve complex geospatial and ecological problems. Based at UC Santa Barbara, he combines hands-on technical skills in Python, R, Fortran, remote sensing and PostGIS with a track record of mentoring and leading small teams to scale heterogeneous analyses. He has a PhD in Environmental Engineering from Duke and a history of translating domain challenges into actionable computational tasks for interdisciplinary working groups at NCEAS. Julien designs and teaches data science courses, develops reproducible pipelines for large environmental datasets, and has experience moving research into operational products from academia to industry. A less obvious strength is his long-standing role as a bridge between science and training—he not only codes models and analyses but also codifies methods into curricula and team workflows that persist beyond individual projects.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Environmental Engineering, Doctor of Philosophy (PhD), Environmental Engineering at Duke University
Ventureplan, Entrepreneurship, Ventureplan, Entrepreneurship at Venturelab
Post graduate Certificate, GIS, Post graduate Certificate, GIS at University of Geneva
French, English, German