The ICREAs

ICREA research professors form a vibrant community of scientists and researchers in all areas of knowledge that contribute to the advancement of humankind by exploring, interpreting and questioning. Have a look and learn about their amazing discoveries and findings here:

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  • De Fabritiis, Gianni

    Universitat Pompeu Fabra (UPF)

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    De Fabritiis, Gianni

    Research Professor at
    Universitat Pompeu Fabra (UPF)
    Experimental Sciences & Mathematics
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    Research interests

    My group research interests are centered in the application of computing as a fundamental methodology to problem solving. In particular simulations in biomedicine, machine learning of biological data and machine intelligence. 

    Research lines

    Biomedicine. We use large distributed computational resources (GPUGRID.net) with thousands of GPUs for molecular dynamics simulations, binding prediction, binding kinetics, Markov state models, online sampling methods (ACEMD, HTMD). The approach is computational driven but we like to collaborate with experimental laboratories and pharmaceutical companies.

    Machine Intelligence. In this research line we develop machine learning approaches applied to biological data. We are particularly interested in  behavioral intelligence, artificial neural networks, sparse coding, deep and hierarchical learning.

     

    Key words

    computational biophysics, drug discovery, molecular kinetics, molecular simulations, accelerated and distributed computing
  • de Graaf, Coen

    Universitat Rovira i Virgili (URV)

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    de Graaf, Coen

    Research Professor at
    Universitat Rovira i Virgili (URV)
    Experimental Sciences & Mathematics
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    Research interests

    Changing properties of materials by shining light on it is an interesting phenomenon. It becomes even more exciting when the initial state can be repopulated by irradiation with light of different wave length. The material becomes then switchable and technological applications appear at the horizon. Insight in the mechanisms of light-induced properties may eventually lead to new materials. We apply techniques from computational chemistry to obtain information about the light-induced electronic state and the deactivation to the final state. The interplay between the electronic structure and the movement of the nuclei plays an important role in the deactivation. We aim to go beyond the traditional static description by introducing the dynamics of the nuclear movement and obtain a more complete picture of the switching mechanism.

    Key words

    Theoretical Chemistry; Transition metal compounds; Light induced magnetism

    ORCID

    : http://orcid.org/0000-0001-8114-6658

    RESEARCHER ID

    : A-5677-2008

  • de la Cruz Montserrat, Francisco Javier

    Vall d'Hebron Institut de Recerca (VHIR)

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    de la Cruz Montserrat, Francisco Javier

    Research Professor at
    Vall d'Hebron Institut de Recerca (VHIR)
    Life & Medical Sciences
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    Research interests

    Since we joined the Institute of Research of the Vall d'Hebron Hospital, our first goal has been the understanding of the molecular-level processes underlying disease, focusing on the impact that sequence variants have on protein structure and function. Our approach is computational and aims at the obtention of predictive models that summarize large amounts of biological information. We are making a real effort to translate our results into actual improvements in patient care, working together with hospital teams involved in molecular medicine. In the last year (2018), we have made significant advances in understanding the functional effect of BRCA1/2 protein variants underlying hereditary breast and ovarian cancers.

    Key words

    Bioinformatics, Computational Biology, Systems Biology, Protein Mutations, Alternative Splicing, Epigenetics, Allosteric regulation

    ORCID

    : 0000-0002-9738-8472

  • de la Luna Gargantilla, Susana

    Centre de Regulació Genòmica (CRG)

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    de la Luna Gargantilla, Susana

    Research Professor at
    Centre de Regulació Genòmica (CRG)
    Life & Medical Sciences
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    Research interests

    The view on how protein kinases translate cell signaling into the regulation of gene expression programs has been expanded in the possible substrates beyond the paradigmatic transcription factors to encompass histones, chromatin remodelers or other components of the basal transcription machinery that are directly modified at specific genomic loci thus regulating the expression of coding and non-coding RNAs. Our group is interested in these regulatory activities of the DYRK family of kinases. Dysregulation of DYRKs leads to disease in humans. In particular, DYRK1A overexpression in Down syndrome (DS) individuals correlates with a wide range of the DS pathological phenotypes. In addition, truncating mutations in one DYRK1A allele have been described in patients with general growth retardation and severe primary microcephaly, highlighting the extreme dosage sensitivity of this gene. We aim to dissect how DYRK activities are linked to human pathology.

    Key words

    cell signaling, protein kinases, transcriptional regulation, DYRK kinases, Down syndrome

    ORCID

    : orcid.org/0000-0001-7765-916X

    RESEARCHER ID

    : E-9553-2015

  • de Riedmatten, Hugues

    Institut de Ciències Fotòniques (ICFO)

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    de Riedmatten, Hugues

    Research Professor at
    Institut de Ciències Fotòniques (ICFO)
    Engineering Sciences
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    Research interests

    Hugues de Riedmatten leads the Quantum Photonics group at ICFO. His research interests are in quantum information science (QIS) and quantum optics. QIS is a research field that aims at controlling quantum coherence in light and matter in order to enable new information processing capabilities impossible with classical resources. He is interested in the quantum control of light matter interaction between single photons and atomic ensembles implemented with rare-earth doped solids and cold atomic gases. Other research lines include quantum non-linear optics with Rydberg atoms, and the detection and manipulation of single ions in the solid-state. The goal is to develop the quantum technology to implement quantum information networks and quantum repeaters. A more fundamental goal is to enable the observation of fascinating quantum effects, such as entanglement, with distant material systems and to explore the limits of quantum coherence in complex material systems.

    Key words

    Quantum Information, Quantum optics, Quantum memory, Entanglement
  • Deco, Gustavo

    Universitat Pompeu Fabra (UPF)

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    Deco, Gustavo

    Research Professor at
    Universitat Pompeu Fabra (UPF)
    Engineering Sciences
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    Research interests

    Perceptions, memories, emotions, and everything that makes us human, demand the flexible integration of information represented and computed in a distributed manner. Normal brain functions require the integration of functionally specialized but widely distributed brain areas. The main aim of my research is to elucidate precisely the computational principles underlying higher brain functions and their breakdown in brain diseases. My research allows us to comprehend the mechanisms underlying brain functions by complementing structural and activation based analyses with dynamics. We integrate different levels of experimental investigation in cognitive neuroscience (from the operation of single neurons and neuroanatomy, neurophysiology, neuroimaging and neuropsychology to behaviour) via a unifying theoretical framework that captures the neural dynamics inherent in the computation of cognitive processes.

    Key words

    Computational, Cognitive and System Neurosciences