About Me
I am a Research Scientist at the University of Florida, focusing on ecological machine learning and computer vision applications. My work combines open-source Python development with ecological research, particularly in the areas of tree detection, species classification, and wildlife population monitoring.
Research Areas
Ecological Machine Learning
Developing open-source Python tools and frameworks for ecological research, with a focus on making machine learning accessible to ecologists.
Everglades Wading Birds
Contributing to the EverWatch project for automated wading bird population monitoring in the Everglades using computer vision and time series forecasting.
View Project →Tree Detection & Classification
Collaborating with NEON to develop scalable solutions for tree detection and species classification across continental-scale ecological observatories.
MillionTrees Benchmark
Creating a global benchmark for airborne tree prediction, collecting and curating over a million tree locations across diverse ecosystems and sensors.
View Project →Key Projects
DeepForest
A Python package for tree crown detection in aerial imagery using deep learning.
View Documentation →MillionTrees
Contributing to large-scale tree detection and monitoring initiatives.
View Contributions →Teaching & Workshops
AI for Ecology Workshop
Recent workshop in Medellin on artificial intelligence applications in ecology.
View Workshop →Featured Talks
Publications
Recent Publications
View my complete publication list on Google Scholar