Photo by Rafa Vida, taken at the Oxford University Museum of Natural History.
Javier Galeano Prieto
Catedrático de Universidad
ETSIAAB · Universidad Politécnica de Madrid
Research: statistical physics, complex systems, ecological & biomedical networks, microbiome modelling, data science.
New Articles
- Latent biochemical phenotypes delineate divergent health trajectories in older adults, R. González-Martos et al. (2026) npj Aging.
- Mutualistic networks emerge from the interplay of abundance, behaviour, and spatial constraints, B. Correa-Arroyo, I. Bartomeus, P. Jordano, M. Castro, J. Galeano (2026) Journal of Animal Ecology
- A four-compartment model of Diaphorina citri and Tamarixia radiata with citrus flushing dynamics and impulsive parasitoid releases, Sebastián Rodríguez-Falcón, Heliana Arias-Castro, Javier Galeano, Luciano Stucchi (2027) Ecological Modelling
Current themes
- Microbiome and health, with current work on cystic fibrosis and related biomedical data.
- Ecological dynamics, inference, and modelling under scarce or noisy data conditions.
- Network structure in biological, ecological, and social systems.
- Machine learning for applied scientific problems, including plant and agrifood systems.
- Sport analytics, with ongoing data analysis in badminton performance.
Upcoming activities
- 14th European Conference on Mathematical & Theoretical Biology minisymposium MS116, "Complexity Science for Biological and Medical Problems". Graz, July 13-17
- II jornadas de Ecoinformática de la AEET, Sevilla, 1-3/08/2026
- Fises26 Tarragona, 14-16/08/2026