We are happy to share the latest milestones reached by our PhD students, who recently presented the progress of their research activities.
Admission to the Third Year of the PhD Programme
Elena, Matteo, and Piero successfully presented the progress of their research and were admitted to the third year of the PhD programme.
Elena presented the latest developments in her research on phenotype- and patient-specific network representations of multi-omics data for interpretable network medicine (in collaboration with FBK). Her work combines recent advances in network science and machine learning to develop computational approaches for the analysis and interpretation of complex biomedical data.
Matteo presented his research on scalable and interpretable computational methods for large biomedical datasets. His work combines High-Performance Computing (HPC) and Large Language Models (LLMs) to extract knowledge from heterogeneous sources of biomedical data.
Piero presented his project on the inference of bacterial interaction networks from metagenomic data (in collaboration with Eubiome srl). His current work includes the simulation of large-scale complex interaction networks, the benchmarking of state-of-the-art network inference methods, and the development of robust computational pipelines for network reconstruction.
Admission to the Thesis External Evaluation Phase
Gaia and Matteo successfully presented the results of their PhD research and were admitted to the external thesis evaluation phase.
Gaia presented her PhD project on interactive visual analytics for interpretable biomedical network modelling. Her research focuses on designing and developing effective visualization approaches and network models for investigating cell–cell communication from single-cell transcriptomics data, as well as on leveraging interactive visualization to enhance explainable artificial intelligence in the biomedical domain.
Matteo presented the results of his three years of research on complex networks for the analysis of biological systems. His work spans several areas, from the simulation of microbial interaction networks to the development of scalable software libraries for large-scale multilayer networks, and from graph-based machine learning to multilayer network approaches for studying cellular communication in spatial transcriptomics.
Congratulations to Elena, Matteo, Piero, Gaia, and Matteo on reaching these important milestones, and best wishes for the next stages of their PhD journey!
