Welcome!

Hi, I’m Alejandro — Researcher & Data Scientist

I work where quantitative ecology meets data science — building models that help explain how living systems change, and what those changes mean in the real world.

In academia, I study how species respond to climate change, from the microclimates experienced by endangered rainforest possums to the large-scale redistribution of tropical montane bird communities.

In data science, I bring the same modelling mindset to applied problems: careful assumptions, clear uncertainty, and outputs that people can actually use. The common thread is simple — rigour with practical impact.

Bridging Research & Application

What motivates me is turning complexity into clarity.

I use tools like hierarchical Bayesian models, spatiotemporal analysis, and machine learning to:

• uncover patterns in high-dimensional ecological and environmental data
• forecast change (and quantify uncertainty) under future scenarios
• support decisions with results that are transparent and interpretable

Whether I’m working in conservation science or applied analytics, my goal is the same: deliver insights that can be acted on — helping teams respond to change with confidence.

Explore the Academic and Data Science tabs above to see case studies, projects, and tools I’ve built.