Computational and Quantitative Biology PhD

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    Project Proposals XLI cycle 2025

     Below the list of proposed projects for the XLI CQB PhD cycle. 

     

    • Novel methods and tools for integrating large single-cell datasets using machine learning and artificial intelligence approaches (Abstract)

              PI: Prof. Claudia Angelini 

     

    •  Integrated Omics Graph Medicine (Abstract)

    PI: Prof. Davide Cacchiarelli

     

    • Decoding Pediatric Neuroblastoma Through Multi-Omic and Single-Cell Bioinformatics (Abstract)

      PI: Prof. Capasso

     

    • Integrative Machine Learning Framework for Accurate Prediction of Peptide Immunogenicity (Abstract)

      PI: Prof. Michele Ceccarelli

     

    • Mechanisms of 3D chromatin re-structuring in healthy and pathogenic genomes (Abstract)

      PI: Prof. Andrea Maria Chiariello

     

    • Web based platform for Structure and Functional -omics and Bioinformatics (Abstract)

      PI: Prof. Maria Luisa Chiusano

     

    •  Polyphenol oxidases in wheat: expression atlas construction and allelic variant discovery under drought stress and microbial interactions (Abstract)

       PI: Prof. Nunzio D'Agostino, Dept. of Agricultural Sciences

     

    • Biological catalysts for H2 generation: challenges and opportunities of machine learning (Abstract)

             PI: Prof. De Simone , Prof. Lombardi

     

    • Engineering Synthetic Gene Circuits for Gene Therapy (Abstract)

      PI: Prof. Diego di Bernardo

     

    • Integrating Artificial Intelligence and Molecular Modeling: A Synergistic Approach to Nuclear Receptor Modulators Design (Abstract)

      PI: Prof. Lavecchia, Prof. Silipo, Prof. De Simone. 

     

    • Lamina-Mediated Regulation of the DNA Damage Response and Chromatin Architecture at Site-Specific Double-Strand Breaks (Abstract)

      PI: Prof. Barbara Majello  

     

    • Transfer learning methodologies for large-scale metagenomic analysis of the human microbiome (Abstract)

      PI: Prof. Edoardo Pasolli

     

    • Integrative bioinformatics for Trans-omics networks representation and image analysis (Abstract)

             PI: Prof. Antonio M. Rinaldi (DIETI-UNINA), Dr. Giuseppe Coppola (ISASI-CNR)

     

    • Exploiting multiomics data in human disesese model alignment (Abstract)

      PI: Prof. Giovanni Scala

     

     

    • Multi-Omics Meet Art and Archaeology (Abstract)

       PI:  Prof. Alessandro Vergara

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