Welcome!

Hi, I’m Alejandro — Researcher & Data Scientist

I work at the interface of quantitative ecology and data science, using advanced analytical approaches to understand biodiversity and environmental change.

My academic research explores how species respond to climate change — from the microclimates experienced by endangered rainforest possums to the large-scale redistribution of tropical montane birds.

In data science, I apply the same modelling and forecasting principles to broader problems, building solutions that are rigorous, transparent, and actionable across scientific and applied contexts.

Bridging Research & Application

What drives me is turning complexity into clarity.
I develop and apply tools such as hierarchical Bayesian models, spatiotemporal analysis, and machine learning to:

• Reveal patterns in high-dimensional ecological and environmental data.
• Forecast change and uncertainty under future scenarios.
• Support decision-making with evidence-based, interpretable results.

Whether in conservation science or applied analytics, my goal is to produce insights that can be acted upon — helping managers, stakeholders, and communities respond to change with confidence.

Explore the Academic and Data Science tabs above to learn more about my work and projects.