Computational and Quantitative Biology PhD

Project Proposals XXXVIII cycle 2022

Here a partial list of PhD projects for the XXXVIII cycle. Students are encouraged to select the most appropriate theme for their background and contact individual PIs for further information and availability.

Supervisor	Project title
Mario Capasso	Understand the complex interaction between inherited genetic variation and that acquired at the tumor level and therefore to understand its effect on carcinogenesis, tumor progression and on the response to therapy
Diego Di Bernardo	Transcriptional phenotyping of breast cancer at the single-cell level to predict drug therapy for personalized medicine
Antonio M. Rinaldi	Multimedia knowledge infrastructure for biomedical data management and analysis
Antonio M. Rinaldi	Integrative Bioinformatics for trans-omics networks representation and analysis
Flora Amato	Biomedical sensors frameworks and methodologies for Workplace Safety and Health enhancement
Mario Nicodemi	The 3D organization of chromosomes and its link to human diseases
Marco Aiello	AI-based methods to support clinical decision in the medical imaging domain
Monica Franzese	Machine learning approaches in radiogenomics to characterize complex diseases and support precision medicine
Alba Silipo	Decoding the structural details of the recognition mode of sialoglycans by Siglec receptors implicated in infection and cancer
Velia Siciliano	Engineering of immune cells that can dynamically remodel the tumor microenvironment with the release of immunomodulatory model
Alessandro Vergara	DNA metalation: a combined experimental/computational approach
Bruno Catalanotti	Development of AI platforms for repositioning currently available drugs for new diseases
Angelo Ciaramella	EXplainable Artificial Intelligence (XAI) based Decision Support Systems for early detection and diagnosis of cancer
Francesco Isgrò	Advanced artificial intelligence techniques and systems to support precision medicine
Barbara Majello	Exploiting the intertwined roles of DNA damage and epigenetics in genomic instability
Giovanni Scala	Multi-Omics Genes and Molecules Network Embedding (MIMNE)
Mario Di Bernardo	Data-driven and learning-based control approaches for cybergenetics

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