Lorenzo Bertolini is a research fellow at the European Commission’s Joint Research Centre specializing in explainability and graph-based methods for multimodal large language models applied to healthcare and biomedical data. With eight years of experience bridging cognitive science and NLP, he earned a PhD in Informatics from the University of Sussex where his thesis probed compositionality, generalization, and inference in LLMs. Lorenzo combines academic rigor from EPSRC-supported research with hands-on project leadership as a scientific project officer, translating ML theory into regulatory-relevant digital health applications. He has a background in cognitive and experimental psychology, which informs his focus on human-centred explainability and evaluation of model reasoning. Based in Milan, he brings an interdisciplinary perspective that spans distributional semantics, cognitive experiments, and applied AI for health.
7 years of coding experience
1 year of employment as a software developer
CIMeC Master's course in Cognitive Science, Language and Multimodal Interaction, CIMeC Master's course in Cognitive Science, Language and Multimodal Interaction at Università di Trento
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at University of Sussex
Bachelor of Science - BS, Experimental Psychology, Bachelor of Science - BS, Experimental Psychology at Università degli Studi di Milano-Bicocca
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Lorenzo Bertolini - Research Fellow at European Commission