Education and Training
- PhD in Deep Learning for modeling current and future biodiversity scenarios . 39th PhD cycle in Life, Earth, and Environmental Sciences - University of Bologna. Position funded by the Horizon project 'Biodiversity Building Blocks for Policy - B3' (University of Bologna, 11/2023 - current)
Supervisor: prof. Duccio Rocchini
Co-Supervisor: dott. Michele Di Musciano
- Master Degree in Science and Management of Nature (University of Bologna, 09/2021 - 10/2023)
Thesis Title: Early warning system based on AI detects deforestation during the Ukraine war
Thesis Supervisor: prof. Roberto Cazzolla Gatti
Final Grade: 110/110 cum laude
- Bachelor Degree in Astronomy (University of Bologna, 09/2016 - 03/2020)
Thesis Title: Main thermonuclear reactions in stars
Thesis Supervisor: prof. Daniele Dallacasa
Final Grade: 103/110
Courses and Certifications
- Earth Observation Remote Sensing Workshop 2024
ESA Academy, Transinne, Belgium (15-19/07/2024)
- Technician in Weather, Climatology and Environmental Resources Management
FSE, Fondazione Aldini Valeriani, Bologna (11/2022 - 10/2023)
- DataLab Project: Artificial Intelligence, Machine Learning, Data Analysis & Visualization
European Social Fund, Emilia-Romagna Region (03/2020 - 07/2020)
Digital Skills
Programming Languages: R - Python - JavaScript - LaTeX
Softwares: Google Earth Engine - QGIS - SNAP - Office365
GitHub: rociobeatrizc
Language Skills
Native Languages: Spanish, Italian
Other Languages: English (B2)
Conferences
World Biodiversity Forum 2024 - Davos, Switzerland
- Poster "What a Clichè: the impact of spatial bias on modelling species distribution" Cortes Lobos R., Di Musciano M., Martini M., Rocchini D.
