I'm an interdisciplinary researcher passionate about applying computing to oceanography. I focus on developing and sharing code that support my research methodologies and academic publications. Here, you'll find projects ranging from oceanographic data analysis to machine learning applications in marine sciences.
- 🌊 Marine and Computational Sciences: My projects and research focus on how to contribute to the knowledge of marine sciences through computational sciences.
- 🧪 Publications and Tools: I share open-source tools and scientific methods aligned with my academic publications.
- 🌐 Web and Programming Projects: Alongside scientific applications, I also work on web development and general programming projects.
- 🏆 Academic Achievements: 5 scientific publications and many conference presentations.
- FrontTracker: FrontTracker is a Python library for detecting and analyzing oceanic fronts, providing descriptors of their position, intensity, orientation, eccentricity, and temporal evolution.
- buoyancy_potential_energy: Quantifies the buoyancy potential energy required for a water parcel in hydrostatic equilibrium to be vertically displaced from a specific reference height.
- buoyancy_potential_work: Calculates the buoyancy work required to bring a parcel of water from different depths to a reference depth 📄.
- th-clusters: Datasets of thermohaline, temperature, and salinity centroids with demo notebooks for applying clustering methods described in a scientific publication 📄.
- mld-mtd: Methodology for locating thermocline depths, thickness, and strength by fitting a sigmoide function to ocean temperature profiles, adaptable to global or local studies 📄.
- cluster_qc: A package for filtering profiles that have salinity drift problems using clustering 📄.
🔍 Explore my repositories and contribute! I welcome comments and collaborations on new research or programming projects.