- Ph.D. in Zoology and Ecology, James Cook University — Cum laude (2024)
- Skills & Tools: Bayesian inference, machine learning, predictive modelling, spatial analysis (GIS, remote sensing), SQL querying, relational database design, automated data pipelines, data cleaning, R programming, reproducible workflows.
- Data Types: Multi-source ecological, biological, climatic, physiological, and biogeochemical datasets (soil, foliage chemistry).
- Applications: Developed novel modelling frameworks to predict species vulnerability to extreme events and identify high-risk habitats.
- M.S. in Biology and Conservation of Biodiversity, Universidad de Salamanca (2016)
- Skills & Tools: GIS, advanced statistics, applied statistical modelling, R programming, spatial analysis, workflow automation.
- Applications: Designed and executed analytical workflows for biodiversity monitoring and conservation planning.
- B.S. in Biology, Universidad de Salamanca (2014)
- Skills & Tools: Mathematics, algebra, biostatistics, physics, introductory statistical programming, ecological modelling.
- Applications: Undergraduate research project integrating environmental and ecological data.
Additional Training & Courses
- Statistical Rethinking: A Bayesian Course with Examples in R and Stan
- Applied Hierarchical Modeling in Ecology
- Integrated Population Models
- R for Data Science
- Bayesian Methods for Ecology
- The Complete Python Bootcamp: From Zero to Hero in Python (Udemy)
- Python for Data Science and Machine Learning Bootcamp (Udemy)
- The Complete SQL Bootcamp: Go from Zero to Hero (Udemy)
- Python for Data Science (Udemy)
- 100 Days of Code: The Complete Python Pro Bootcamp
