Computer sciences, Machine learning techniques
Estefanía Caballero Ruiz is a computer scientist who completed her PhD in Biomedical Engineering at the Universidad Politécnica of Madrid. Her research experience is related to the development of decision support tools using machine learning techniques, these applied to different areas: health care, forestry (fire risk assessment) or agriculture (crop yield estimation, crop mapping...)
She collaborated with the Oceanography Research group of the Institute of Marine Science of Andalusia (ICMAN) of the Spanish Research Council (CSIC) as a part of the training program of the "Cuerpo Superior de Sistemas y Tecnologías de la Información de la Administración del Estado". During her stay she participated in the development of satellite-based tools for physical-biological oceanic processes observation and research. These tools allow the automatic processing of multispectral images from the Sentinel-2 satellite family of the Copernicus program in order to analyze water quality and marine indicators.
Her work is integrated in the Andalusian Marine Observatory, created in the context of the project “Generation of satellite tools for the detection of algal blooms: macroalgae and microalgae – Sat4Algae” directed by Gabriel Navarro.
Currently, she is working in the Data Analysis área of the Ministry of Agriculture, Fisheries and Food of Spain. Her activity is mainly focused in the design and implementation of machine learning models for predictive analytics projects.
Institute of Marine Sciences of Andalusia (ICMAN-CSIC)
Campus Universitario Río San Pedro, s/n
11519 Puerto Real, Cádiz
+34 956 832 612