Translational biomedicine

We focus on the development of cutting-edge algorithms and computational solutions for the analysis of high-throughput molecular data in the context of biomedical research. Areas of research interests are immunooncology, genome stability and integrity, transposable elements biology, population and medical genetics.

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By coupling cutting-edge computational and experimental techniques, we pave the way towards a future of precision crop improvement and unraveling the mysteries of host-pathogen interactions. Through our involvement in various crop genetics initiatives, we strive to achieve high-accuracy marker-assisted selection and contribute to the advancement of sustainable and productive agriculture.

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Infrastructure Solutions For Big Biomedical Data

Large-scale data management is essential for experimental science. We design big data and analytics ecosystems to drive and support biomedical research to the next level.

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