Bernat Chiva Polvillo
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Educación
Postgraduate in Artificial Intelligence with Deep Learning
Focused on designing deep learning models for processing text, video, and audio with neural networks. Also, gained exposure to Generative AI and Cloud computing.
MSc in Statistics and Operations Research
Acquired advanced knowledge of statistical theory and methods, emphasizing model creation and deployment.
Bachelor's Degree in Political Sciences and Administration
Developed skills in analyzing political situations and institutions, laying a foundation for analytical thinking.
Research
Wildfire risk maps
Calculation of wildfire risk through ML algorithms and its visualization.
Bias-correction models
Modification of physical based models through ML and Deep Learning techniques.
Main Research Lines
- Hazard and Compound Hazard-Risk Modelling under Current and Future Climate Scenarios
- Transferability of AI-Based Hazard Models to Data-Scarce Regions
- Integration of Risk Models with Community-Based Early Warning Systems
- Modelization of Climatic Events with Statistical and AI Approaches
- Climate Change Impacts on Public Health, Agricultural, Energy, and the Environment