Journal
Introducing TropiCam-AI: A taxonomically flexible automated classifier of Neotropical arboreal mammals and birds from camera-trap data
Methods in Ecology and Evolution, 2026
About me
Hi there! I'm a PhD student in Animal Biology, with a keen interest in ecological modelling and conservation.
My primary research experience centers on camera-trapping methods for density and abundance estimation of wildlife populations, with a specific focus on integrating machine learning algorithms to automate the process.
I work at the interface between ecology, conservation biology and computer vision, leveraging and developing machine learning tools for automated wildlife density estimation with camera-traps, and applying population density data to conservation studies across different spatial scales through modelling and integrated approaches to inform large-scale conservation assessments.
Research interests
Conservation Biology
Investigating patterns of population density and abundance at a local scale, particularly through camera-trapping methods.
Macroecology
Analyzing population trends across broad geographical and taxonomic gradients to gain insights on global drivers of animal density and abundance.
AI for Conservation
Developing and applying AI tools to enable efficient and effective wildlife monitoring and conservation.
Causal Ecology
Understanding causal relationships in ecological systems through advanced causal inference methods.
Selected publications
Journal
Towards an automated protocol for wildlife density estimation using camera‐traps
Methods in Ecology and Evolution, 2024
Projects & software
TropiCam-AI
An automated classifier for Neotropical arboreal mammal and bird species in camera-traps.
→ Project page → Check out the demo!Let's connect!
Always excited to discuss research, collaboration opportunities, or just chat about ecological modelling and AI!