This Villum Synergy Grant (DKK 4,480,000, approx. EUR 600,000) funds the DK-Future research programme from 2026 to 2028. 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, who acts as co-PI. Grant reference for acknowledgements: VIL78584 (AAU project 132721).
This Spanish Ministry of Science research grant (2020–2023, total funding: €62,000) 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 national mobility scholarship from the Spanish Ministry of Science (total funding: €15,000) funded a research visit at the University of Copenhagen in 2019. The José Castillejo programme supports young researchers in building international collaborations through research stays abroad.
This highly competitive Young Researcher Starting Grant from the Spanish Ministry of Science (total funding: €172,000, acceptance rate: ~6%) supported my research from 2017 to 2019. 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 competitive scholarship from a local call of the University of Granada (total funding: €3,000) supported the project Discretization of Expression Quantitative Trait Loci using Machine Learning Models in 2013.
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.