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Willian Vieira PhD
Geospatial Data Engineer & Scientist with a PhD in Ecology, I integrate AI/ML models with cloud-native data engineering to build scalable, automated pipelines for environmental impact.
Data Science & Engineer Experience
Data Analyst
Habitat, Montreal, Canada
N/A
2025 - 2024
(1 yr 9 m)
Built and maintained reproducible pipelines using satellite imagery and open-source spatial data for automated monitoring | Designed a geospatial lakehouse architecture for streaming unstructured datasets from Azure cloud storage, optimizing data retrieval for analytics | Architected end-to-end R/Python ETL pipelines to deploy geospatial ML models into production environments | Implemented metadata-driven workflows and data validation checks, significantly improving pipeline reliability and governance | Led the transition to a Unix-based production environment, creating automated setup scripts and modernizing workflows with Docker, CI/CD, and DevOps best practices
PhD Research
Integrative Ecology Lab, Sherbrooke, Canada
N/A
2024 - 2017
Built end-to-end geospatial data pipelines to ingest, clean, and harmonize continental-scale forest-climate datasets for Bayesian hierarchical modelling | Developed reproducible HPC (High-Performance Computing) workflows (), leveraging parallel processing and cluster management to execute thousands of model simulations at scale | Developed open-source software libraries (, ) for geospatial demographic modelling, implementing version control and automated testing | Published a technical methods book documenting the full computational pipeline to ensure long-term project reproducibility, along with one peer-reviewed publication and two preprints (, )
Biostatistician
Environment and Climate Change Canada - Quebec, Canada
N/A
2022 - 2020
(part-time)
Developed a cost-aware probability sampling protocol to optimize the spatial representativeness of boreal bird surveys in Quebec | Led R&D on spatial bias correction methodologies, designing a method later adopted by other provinces | Engineered a fully automated and reproducible geospatial pipeline featuring automated documentation and version-controlled workflows to ensure long-term system maintainability | Produced a fully open source, reproducible analytical workflow with automated documentation
Education
PhD, Ecology
Université de Sherbrooke - Sherbrooke, Canada
N/A
2024 - 2017
How climate, competition, and forest management shape the limits of tree species distributions: from individuals to metapopulations
Masters 2, Agroecology and Resource Management
Bordeaux Sciences Agro, Bordeaux, France
N/A
2016 - 2015
Modelling the dispersion of weed species in agricultural landscapes