Emanuele Cavalleri

PhD candidate at the AnacletoLAB (Computational Biology and Bioinformatics Lab) -- Department of Computer Science, University of Milan, Italy. I received a MSc degree (cum laude) in Bioinformatics at the University of Milan & Politecnico of Milan (joint degree). My research activity has been carried out in the construction and analysis of biomedical knowledge graphs. My work has focused on integrating and handling structured and unstructured biological and biomedical data by exploiting the application of bio-ontologies such as GO, Mondo, and HPO. Proficient in semantic web technologies including RDF, RDFS, and OWL for effective data representation. Additionally, I gained expertise in query processing in SPARQL and Cypher in the biomedical domain. Currently, I am working on the application of graph representation learning methods and exploring large language models to enhance biomedical knowledge graphs.

Publications

2024

• Marco Nicolini, Emanuele Saitto, Ruben Emilio Jimenez Franco, Emanuele Cavalleri, Marco Mesiti, Aldo Javier Galeano Alfonso, Dario Malchiodi, Alberto Paccanaro, Peter N. Robinson, Elena Casiraghi, and Giorgio Valentini Fine-tuning of conditional Transformers for the generation of functionally characterized enzymes. bioRxiv. (Submitted Aug 2024)
• Emanuele Cavalleri, Alberto Cabri, Mauricio Soto-Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J Callahan, Justin Reese, Peter N Robinson, Elena Casiraghi, Giorgio Valentini, and Marco Mesiti An ontology-based knowledge graph for representing interactions involving RNA molecules. Nature Scientific Data. (In press Jul 2024)
• Francesco Torgano, Emanuele Cavalleri, Jessica Gliozzo, Federico Stacchietti, Emanuele Saitto, Marco Mesiti, Elena Casiraghi, and Giorgio Valentini RNA Knowledge Graph analysis via graph embedding methods. WSEAS Transactions on Biology and Biomedicine. (In press Jul 2024)
• Darya Shlyk, Tudor Groza, Stefano Montanelli, Emanuele Cavalleri, and Marco Mesiti REAL: A Retrieval-Augmented Entity Linking Approach for Biomedical Concept Recognition. Proceedings of the Workshops of the ACL 2024 Conference. (In press Jul 2024)
• Emanuele Cavalleri, Mauricio Soto-Gomez, Ali Pashaeibarough, Dario Malchiodi, Harry Caufield, Justin Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, and Marco Mesiti SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. Proceedings of the Workshops of the VLDB 2024 Conference. (In press Jul 2024)
• Emanuele Cavalleri and Marco Mesiti Construction and enhancement of an RNA-based knowledge graph for discovering new RNA drugs. Proceedings of the 2024 IEEE 40th International Conference on Data Engineering (ICDE). (Published Jul 2024)
• Emanuele Cavalleri, Mauricio Soto-Gomez, Ali Pashaeibarough, Dario Malchiodi, Harry Caufield, Justin Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, and Marco Mesiti Initial achievements in relation extraction from RNA-focused scientific papers. Proceedings of the 32nd Symposium of Advanced Database Systems. (Published Jun 2024)
• Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr, and Lawrence E. Hunter An Open-Source Knowledge Graph Ecosystem for the Life Sciences. Nature Scientific Data. (Published Apr 2024)
• Emanuele Cavalleri and Marco Mesiti On the extraction of meaningful RNA interactions from Scientific Publications through LLMs and SPIRES. Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference. (Published Mar 2024)
• Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin Reese, Elena Casiraghi, and Giorgio Valentini Fine-tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. (Published Jan 2024)
• Jessica Gliozzo, Valentina Guarino, Arturo Bonometti, Alberto Cabri, Emanuele Cavalleri, Mauricio Soto Gomez, Justin Reese, Peter Nicholas Robinson, Marco Mesiti, Giorgio Valentini, and Elena Casiraghi Intrinsic-Dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing. bioRxiv. (Submitted Jan 2024)

2023

• Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto-Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, and Marco Mesiti Towards the Construction of an RNA-centered Knowledge Graph. Proceedings of the 31st Symposium of Advanced Database Systems. (Published Sep 2023)
• Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto-Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, and Marco Mesiti A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph. Bioinformatics and Biomedical Engineering. (Published 29 June 2023)

Other research activities

• Software
• Lectures
• Seminars

External home pages

• Google Scholar
• ORCID ID
• LinkedIn
• Personal GitHub
• GitHub AnacletoLAB