Elevating Avian Ecology Through Artificial Intelligence

Welcome. I am Lance, an ML Developer specialised in bridging the gap between advanced data science and avian conservation. By leveraging cutting-edge machine learning models, my work transforms raw ecological data into actionable insights to protect global bird populations and their habitats.

Intelligently Mapping the Skies

• Bioacoustic Monitoring: Developing automated audio recognition pipelines using deep neural networks to detect, classify, and track bird species from vast arrays of field recordings.
• Computer Vision & Drone Analytics: Building custom object detection models to accurately count populations, monitor nesting behaviors, and map critical habitats from aerial imagery.
• Predictive Migration Modeling: Deploying machine learning algorithms to analyze historical migration patterns, climate variables, and environmental data to forecast ecological shifts.