Anthony Gardella is an Associate Economist who blends computational modeling, economics, and environmental policy to tackle the tangled interactions of energy, water, and land systems. With 11 years of experience spanning federal policy analysis at the EPA, climate impact assessments, and terrestrial biosphere model development, he translates data-driven insights into actionable policy and risk analysis. He has led cross-institutional developer teams for the PEcAn ecological bioinformatics toolbox, contributing back-end work to parameterize FATES and integrate database inputs into ecosystem simulations. His work on wildfire impacts uses agent-based models to reveal how costs are distributed across homeowners at the wildland-urban interface, highlighting equity dimensions often missing from policy analyses. Comfortable with R, Tableau, and building reproducible model-evaluation pipelines, he pairs technical rigor with clear communication to inform federal and regional decision-making. Based in Cambridge, MA, he brings a rare combination of hands-on coding for large ecological models and applied economic analysis of environmental outcomes.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Environmental Policy, Master of Science - MS, Environmental Policy at University of Michigan- School for Environment and Sustainability
Master's degree, Applied Economics, Master's degree, Applied Economics at University of Michigan
Bachelor's Degree, Environmental Analysis and Policy, Bachelor's Degree, Environmental Analysis and Policy at Boston University
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Back-end Developer
Contributions:1030 commits, 254 PRs, 175 pushes in 3 years 10 months
Contributions summary:Anthony's commits primarily involved modifications to the `models/fates/R/write.configs.FATES.R` file, indicating a focus on configuring and writing model configuration files for the FATES (Functionally Assembled Terrestrial Ecosystem Simulator) model, which is a core component of the Predictive Ecosystem Analyzer (PEcAn) toolbox. The code changes include modifying parameters like Vcmax, leaf turnover rates, and various reflectances, which suggests the user was involved in parameterizing and adjusting the model's behavior. This implies the user was responsible for integrating the data from the database into the model, a clear indicator of a back-end developer.
Contributions:66 commits, 1 PR, 63 pushes in 3 years 9 months
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