Summary
Babak Naimi is a senior researcher based in Utrecht with 13 years of expertise in spatial data science, remote sensing, and spatio-temporal/statistical learning applied to ecosystem dynamics and biodiversity. He has a strong academic track record across European institutions (Utrecht, Helsinki, Amsterdam, ETH Zurich, Max Planck) and a PhD in Geo-Information Science, blending deep learning with high-performance, cloud-based workflows for large-scale environmental monitoring. Babak builds reproducible, extensible tools for spatio-temporal modelling and has hands-on experience deploying Dockerized apps and movebank-style movement-data pipelines. His background spans both consulting and academia, giving him a practical edge in translating complex models into operational research products. Colleagues describe him as a method-driven scientist who pairs statistical rigor with scalable engineering to tackle global ecosystem questions.
13 years of coding experience
10 years of employment as a software developer
PhD Geo-Information Science & Earth Observations, PhD Geo-Information Science & Earth Observations at University of Twente
Bachelor of Science (B.Sc.) Natural Resources, Bachelor of Science (B.Sc.) Natural Resources at Gorgan University of Agricultural Sciences and Natural Resources
Master of Science (M.Sc.) Remote Sensing and GIS, Master of Science (M.Sc.) Remote Sensing and GIS at Tarbiat Modares University
PhD Environmental Science, PhD Environmental Science at IAU University