Summary
Priscilla Minotti is a geodata scientist and educator with over a decade of experience applying remote sensing, GIS, data mining and GeoAI to ecological questions, particularly wetland mapping and species distribution in productive landscapes. She combines academic leadership—current postgraduate teaching and a doctoral research role—with long-standing professorships and past presidency of the Argentine Landscape Ecology Association, bridging research, teaching and professional networks. Trained as a biologist and geographer (MSc Oregon State) with specialized credentials in data mining and computational science, she routinely handles large environmental datasets and builds applied models for conservation and land-use contexts. Active in community initiatives like RLadies-Buenos Aires and geospatial open groups, she brings both technical depth and a collaborative, outreach-oriented approach to geoinformatics. An understated strength is her ability to translate complex GeoAI methods into practical tools for stakeholders working in productive wetland environments.
10 years of coding experience
Master of Science, Geography, Master of Science, Geography at Oregon State University
Especialista en Minería de Datos y Gestión del Conocimiento, Computational Science, Especialista en Minería de Datos y Gestión del Conocimiento, Computational Science at Universidad de Buenos Aires
Licenciada en Ciencias Biologicas, Ecologia, Licenciada en Ciencias Biologicas, Ecologia at University of Buenos Aires