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This research group is about different types of functional materials with applications in renewable energy and artificial intelligence. The aim is to prepare effective materials with adequate photoactivity, memory and stability properties, depending on the desired function. This is a multidisciplinary line that combines the models of photoactive and electroactive devices with the formulation and effective construction of the operational devices. We apply different electro-optical techniques that allow us to characterize the dynamic behavior of the systems.

The Vision Modeling Group (VMG) is dedicated to creating mathematical models that allow to predict experimental data in visual neuroscience and visual perception. Towards this goal, we build abstract but biologically plausible mathematical models of neural cells and circuits.

Synthesis, characterization, and modelling of atomically controlled solid catalysts for energy efficient chemical processes, including the revalorization of fossil feedstocks, the upgrade of biomass, low-emission hydrogen generation strategies, and the abatement of greenhouse gases

The NM4T group develops new therapeutic strategies based on nanotechnology. We work with synthetic nanoparticles and extracellular vesicles (EV) that: i) protect the active ingredient, ii) direct it to the organ, tissue, and cell type where it is most needed (improving its biodistribution), and iii) expand its therapeutic window. Our goal is to improve the treatment of various pathologies, mainly cancer and a group of rare diseases known as lysosomal storage diseases (LSD).

Our group is specialized in bioinformatics and computational biology. We are interested in the study of bacterial pangenomes to understand how they relate to the bacteriophages that infect them, and how the latter can modulate their evolution and the expansion of defense and anti-defense systems.