I am a PhD student in Statistics and Optimization at the Universitat Politècnica de València. My primary research interest is in applied Bayesian statistics within the field of marine ecology, focusing on spatio-temporal modeling and compositional data analysis.
Currently, I am involved in the ProOceans project, where I am developing GLOSSA, an interactive tool to simplify species distribution modeling for non-coders, aiming to advance our understanding of marine ecosystems under global change. In addition to GLOSSA, I am examining global fishing data to uncover trends in catch composition that may signal underlying environmental and economic shifts impacting marine ecosystems worldwide.
Education
Areas of Interest
Some of the things I love working on
Spatio-temporal Bayesian Modeling
Applying Bayesian hierarchical models to uncover complex spatial and temporal patterns.
Compositional Data Analysis
Bringing new insights to the analysis of this special type of data that represents parts of a whole.
Species Distribution Modeling
Exploring how species distributions change over time and respond to shifting environmental conditions.
Global Ocean Sustainability
Contributing to sustainable ocean health and resource management to protect marine ecosystems.
Open Science
Encouraging transparency, collaboration, and efficient research to drive faster and more impactful innovation.
Innovation & Transferability
Turning research into practical solutions for industry, innovation, and policy applications.
Technical Skills
R
Python
Shiny
HTML & CSS
GitHub
LaTeX
Markdown