Summary
Carles Milà is a geospatial data scientist and statistician with nine years of experience applying spatial modeling and epidemiological methods to complex datasets, from remote sensing to wearable sensors and large cohorts. He currently develops R packages for modelling and predicting climate-sensitive, vector-borne diseases at the Barcelona Supercomputing Center’s Global Health Resilience group. His academic path spans a PhD in Biomedicine focused on spatial exposure assessment, an MSc in Geospatial Technologies (9.4/10), and advanced training in statistics and economics, giving him a rare combination of domain, methodological and computational expertise. He has led multidisciplinary studies across public health and environmental science, translating noisy, high-dimensional geospatial inputs into robust predictive models. Notably, he blends rigorous statistical practice with practical software development—packaging models for reuse and reproducibility in applied global health settings. Based in Barcelona, he maintains an active research profile with publications catalogued on Google Scholar.
10 years of coding experience
7 years of employment as a software developer
Master of Science in Geospatial Technologies, Geoinformatics, 9.4/10, Master of Science in Geospatial Technologies, Geoinformatics, 9.4/10 at University of Münster
PhD in Biomedicine, Spatial data science approaches to environmental exposure assessment, PhD in Biomedicine, Spatial data science approaches to environmental exposure assessment at Universitat Pompeu Fabra
UPC Universitat Politècnica de Catalunya
Catalan, Spanish, English, French, German