About Me

Conservation biologist bridging science, technology, and policy

Zakher Bouragaoui

Background

I apply machine learning tools and acoustic indices to scale biodiversity monitoring beyond what traditional field surveys can achieve. At the University of Wisconsin-Madison (2021-2023), I used BirdNET and acoustic analysis to automate bird species identification from sound recordings in California's Sierra Nevada, and used Acoustic indices as proxy for biodiversity richness. This approach makes continuous, large-scale biodiversity assessment practical in resource-limited contexts. Now at WWF North Africa, I design monitoring and evaluation frameworks that turn field data into evidence-based conservation strategies, ensuring programs across the region can demonstrate measurable impact.

My research spans Mediterranean island biogeography, herpetology, desert ecology, and wetland systems. I've investigated endemic lizard populations in the Galite Archipelago, and conducted biodiversity assessments in California's Anza-Borrego Desert. As co-founder and former Vice President of the Tunisian Association for Wildlife (ATVS), I built research partnerships that strengthened Tunisia's conservation capacity. National Geographic recognized this work, supporting my Tunisian Wonders project documenting biodiversity. I focus on making conservation more rigorous through better measurement—whether that's analyzing acoustic data, counting reptiles on remote islands, or designing frameworks that prove conservation programs work.


Areas of Expertise

Conservation Biology

Biodiversity monitoring, species assessment, and habitat evaluation.

Ecoacoustics

Bioacoustic analysis, species identification algorithms, acoustic indices and data-driven conservation decision-making.

M&E Frameworks

Monitoring and evaluation systems design, impact assessment, and adaptive management strategies.

Field Research

Scientific Expedition, ecological surveys, and community engagement across North Africa.


Current Focus

WWF North Africa

Leading the development and implementation of monitoring and evaluation frameworks for conservation programs across North Africa. Integrating technology and data science to enhance program effectiveness and evidence-based decision-making.

Research Interests

Advancing the application of machine learning in biodiversity monitoring, with particular focus on bioacoustic analysis for species detection. Exploring innovative approaches to assess and protect ecosystems and biodiversity.


Education

Master's in Wildlife Ecology

University of Wisconsin, Madison

2021-2023

Master's in Evolutionary Ecology

University of Tunis El Manar

2016-2018

Recognition

National Geographic Explorer

Tunisian Wonders Project

2023-Present

Fulbright Scholarship

WMaster of Science

2021