Summary
Roozbeh Valavi is a quantitative spatial ecologist and data scientist with eight years' experience building predictive biodiversity models and spatial analysis systems, currently a Senior Research Scientist at CSIRO in Melbourne. He combines a PhD in Ecological Modelling with hands-on engineering skills—deploying cloud infrastructure (AWS, Terraform, Ansible, Docker), PostgreSQL databases, REST APIs and Shiny apps—to translate complex ecological data into operational tools. His research advanced cross-validation strategies for spatial models and tackled class imbalance in machine learning for species distribution, bridging ecological theory and practical modelling. Roozbeh has a track record of deploying reproducible, production-ready pipelines that supported national-scale analyses such as bushfire impact assessments. He brings both academic rigor and software engineering discipline to interdisciplinary teams, enabling robust, scalable biodiversity decision-support. Based in Australia, he quietly blends deep domain expertise with full-stack data engineering to move models from proof-of-concept into deployed services.
8 years of coding experience
4 years of employment as a software developer
Master of Science (MSc), Geographic Information Systems & Remote Sensing, Master of Science (MSc), Geographic Information Systems & Remote Sensing at Shahid Beheshti University
Bachelor's degree, Natural Resources Engineering - Environmental Science, Bachelor's degree, Natural Resources Engineering - Environmental Science at Allame Mohaddes Noori University
The University of Melbourne
Persian, English