Summary
Fabio Favoretto is a marine ecologist and lecturer with a decade of experience translating quantitative science into real-world conservation impact, currently lecturing at the University of Plymouth after postdoctoral work at Scripps. He combines advanced numerical ecology, machine learning (Python, R, Neo4j), and geospatial analysis to tackle problems like blue carbon assessment and IUU fishing detection while managing multi-million-dollar research portfolios and cross-border initiatives. As Chief Science Officer he directed Atlas Aquatica, secured $2.5M+ in competitive funding, and developed open-source visualization and analysis tools adopted by 20+ institutions. He mentors the next generation of quantitative ecologists and builds reproducible workflows that bridge academic research with policy and community stakeholders. Notably, his work routinely shapes management decisions across Mexico and California, reflecting a rare blend of technical depth, program leadership, and on-the-ground conservation engagement.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Ecology, Doctor of Philosophy - PhD Ecology at Universidad Autónoma de Baja California Sur
Master's degree Marine biology, Master's degree Marine biology at Università degli Studi di Trieste
Spanish, Italian, English, Spanish