Machine Learning for Bird Species Identification
Developed ML models for bird identification from bioacoustics and acoustic indices; modelled species richness in the Sierra Nevada, integrating ecological and environmental data.
From island lizards to acoustic machine learning — the questions, methods, and field projects that shape my work in biodiversity monitoring.
Acoustic monitoring & machine learning for biodiversity assessment.
Population dynamics of Mediterranean lizard species.
Endemic evolution on Mediterranean islands.
Ecosystem health in North African wetlands.
Species distribution models & ecological analysis.
Monitoring & evaluation frameworks for programmes.
Developed ML models for bird identification from bioacoustics and acoustic indices; modelled species richness in the Sierra Nevada, integrating ecological and environmental data.
Led investigation of endemic Lacertidae in Mediterranean island ecosystems — field surveys, species distribution mapping, and analysis of population dynamics and habitat.
Investigated Mediterranean biogeography and species evolution, specialising in biodiversity monitoring and statistical analysis of ecological data.
Conducted population monitoring of lizard species on Zembra Island, implementing field protocols and analysing trends against habitat and environmental variables.