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Willian Vieira PhD
Data analyst and modelling specialist with a PhD in quantitative ecology. I build mathematical and statistical models using reproducible data workflows that turn complex data into validated, explainable outputs for operational decisions.
Data Science & Engineering Experience
Data Analyst & developer
Habitat, Montreal, Canada
N/A
2025 - 2024
(1 yr 9 m)
Built Python/R analytical pipelines and data-processing workflows that turned messy real-world project data into standardized, validated model inputs, reports, and decision-ready outputs | Developed metadata-driven ETL, data modelling, and provenance workflows so datasets, definitions, analyses, and handoffs remained traceable, reproducible, and inspectable | Led the transition to a Unix-based production environment using Docker, CI/CD, automated testing, documentation, and collaborative development practices | Designed cloud/Azure-oriented data infrastructure that made heterogeneous analytical datasets easier to retrieve, validate, and reuse
PhD Research
Integrative Ecology Lab, Sherbrooke, Canada
N/A
2024 - 2017
Formulated, implemented, and validated mathematical/statistical models for forest dynamics, including Bayesian hierarchical models, simulation workflows, regression-style evaluation, and historical-data routines for noisy, biased, incomplete data | Extracted signal from large historical datasets by harmonizing field inventories, climate, satellite, and spatial covariates into modelling-ready inputs with explicit assumptions and validation checks | Ran thousands of simulations on HPC infrastructure () to test algorithmic assumptions, compare model behavior, and scale analyses beyond local compute | Developed open-source software libraries (, ) for demographic modelling with version control, automated testing, documentation, and reusable workflows | Published a technical methods book documenting the full computational pipeline, 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 improve the spatial representativeness of boreal bird surveys in Quebec under operational constraints | Led client-facing R&D on spatial bias-correction methods for large-scale ecological monitoring data, translating requirements into a method later adopted by other provinces | Engineered a fully automated and reproducible data pipeline with version-controlled workflows, automated documentation, and stakeholder-ready analytical outputs
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