IMBAS is a research team dedicated to investigating the interactions between human communities and their environment. Through archaeological remains, we investigate how diet and livestock have changed over time, and how this reflects the different socio-economic systems and environmental management.

The Political Ecology Group (GEP) focuses on the interactions between local communities and natural resources, with special emphasis on the impacts of public policies and the market from an historical perspective and at a multiple scales.

Our research laboratory is centered in the study of (i) cognitive control and (ii) habitual behaviours. Specifically, we seek to understand how reactive and proactive control is mediated by different brain areas and their causal implication using neuromodulation. The second research line tries to understand how associative learning occurs in behaviour and the brain using experimental and real-life measures. A strong approach we use is to test these cognitive processes in healthy humans to then translate in pathological conditions perturbing fronto-striatal connections and dopamine.

The group's activity focuses on the search for Protein-Protein Interaction Modulators with biomedical applications.

Our research group investigates the design and engineering of biological systems through an integrated approach combining structural biochemistry, synthetic microbiology, and computational protein design. We explore the potential of novel enzymes and enhanced microbial platforms for applications in biomedicine, biotechnology, and environmental sustainability.

We conduct interdisciplinary research pursuing two overarching goals: to produce new knowledge about the carbon cycle in modern environments and to reconstruct the past climate of our planet.

The research line focuses on identifying the genetic and molecular basis of complex diseases, with a particular emphasis on the role of sex in their etiopathogenesis. To achieve this, the approach integrates genome-wide association studies (GWAS), admixture mapping, high-throughput sequencing, and several computational methods, including functional genomics, epigenomics, and transcriptomics, both at the tissue and single-cell levels.