This Villum Synergy Grant (approx. 4.5 million DKK / 600,000 EUR) funds the DK-Future research programme from 2026 to 2029. The grant includes five Post-Doc years and supports work at the intersection of probabilistic machine learning, spatio-temporal modelling, and GeoAI for Danish land-use forecasting under climate change. The project is carried out in close collaboration with Jamal Jokar Arsanjani from the Planning Department at Aalborg University. Project Id: 00078584.
This Spanish Ministry of Science research grant (2020–2023) funded work on advancing explainable machine learning within a probabilistic framework. As Co-PI, I contributed to the methodological development of probabilistic models for interpretability and trustworthy decision-making. The grant also funded one PhD student.
This highly competitive Young Researcher Starting Grant from the Spanish Ministry of Science (total funding: €180,000, success rate: ~6%) supported my research from 2017 to 2020. The grant covered three years of PI salary and a two-year Post-Doc position, enabling a focused research programme on probabilistic programming and scalable probabilistic machine learning, including the development of open-source tools for large-scale data analysis. Project ID: ID2019-106758GB-C32.
This highly competitive national PhD Scholarship from the Spanish Ministry of Science (total funding: €96,000) supported my doctoral studies from 2005 to 2009. The scholarship covered a full four-year PhD period, providing salary, training, and research resources essential for completing my doctoral work in probabilistic modelling and machine learning.