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The Lab

Who we are

A Data Science Lab with 20 years of experience in solving complex problems on very high dim/throughput data. A team of 22 researchers and technologists with a unique combination of practical skills in developing powerful data infrastructures and international level research in Machine Learning, Network Analysis.

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A data science lab with ...

  • A record of publications on top international journals (including Bioinformatics, Nature, Genome Biology, Phys. Rev. D), with machine learning solutions and data infrastructures adopted in real world scenarios.
  • International partner for predictive models in bioinformatics for leading research agencies and industry.
  • Strong commitment and efficient use of Open Source Software and Open Data, as headquarters of GIS GRASS, the MLPY machine learning Python package, and of R and JS methods for networks and actionable graphics.
  • Developing platforms for data analytics for wearable technologies, based on a long-time experience in predictive models on time-series data and complex networks.

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