Blending cutting-edge data science with marine ecology to drive real conservation outcomes.
I am a numerical ecologist with extensive expertise in marine conservation and data science. My work sits at the intersection of reef ecology, spatial fisheries analysis, AI-powered tools, and the socioeconomic dimensions of marine conservation — from the Gulf of California to the Mediterranean and beyond.
- 🎓 Lecturer in Marine Biology & Scientific Diving — University of Plymouth, UK (2026–present)
- 🔬 Chief Scientist — Centro para la Biodiversidad Marina y la Conservación A.C., Mexico (2020–present)
- 🌊 Postdoctoral Researcher — Scripps Institution of Oceanography, UC San Diego (2023–2025)
- Marine Protected Area design, monitoring, and effectiveness
- Reef ecology: trophic structure, tropicalization, and resilience
- Spatial fisheries analysis using AIS/VMS vessel tracking
- Socioeconomic dimensions of ecotourism and small-scale fisheries
- AI and large language models applied to marine conservation
- Remote sensing and satellite-derived bathymetry
Languages & Tools
R Python SQL Git GIS
Data Science
Machine Learning Deep Learning Spatial Modelling Time Series Knowledge Graphs Data Visualization AI Video Processing Large Language Models
Fieldwork
PADI Divemaster · 4,000+ dives · International Scientific Diver
Global assessment of the economic and conservation value of the scuba diving industry. Integrates ecological, economic, and governance data across multiple ocean basins. Published in Cell Reports Sustainability (2025).
Interactive decision-support platform for ecological monitoring of the largest fully protected marine area in North America. Built with Shiny, geospatial data, and remote sensing.
🤖 ChatMPA
AI-powered marine protection assistant prototype. Designed to support MPA managers and stakeholders with accessible, data-driven conservation intelligence.
🐟 dafishr
R package for downloading, wrangling, and analysing Vessel Monitoring System (VMS) data. Used for spatial fisheries management and IUU fishing detection.
R package for processing and calibrating GLS (light-level geolocation) tracking data from seabirds.
📚 Full list on Google Scholar
Research featured in:
4,000+ dives across the Gulf of California, Pacific Mexico, and beyond
I'm always open to collaborations combining data science, AI, and marine ecology for conservation impact.
Feel free to reach out or explore my repositories!
