I’m Marco Postiglione, a Ph.D. student affiliated with the PicusLab research group at the University of Naples Federico II, under the guidance of Prof. Vincenzo Moscato.

📚 The title of my Ph.D. thesis is “Knowledge Graphs for Next-Generation Health Science Applications”. Here, I’ve explored challenges related to the extraction of relevant information from the unstructured text in Electronic Health Records, with a particular focus on low-resource languages and few-shot learning scenarios. I’ve also leveraged Temporal Knowledge Graphs for the prediction of medical adverse events.

🧐 My research interests are in the areas of data-centric AI, knowledge graphs, natural language processing and explainable AI.

📧 Feel free to reach out to me at my email address: marco (dot) postiglione (at) unina (dot) it

Recent news

🟢 [Oct 31, 2023] I’ve almost completed my PhD journey. The thesis has been submitted to reviewers — currently waiting for their feedback!

🟢 [Oct 5, 2023] The work entitled “Data augmentation via context similarity: An application to biomedical Named Entity Recognition” has been published on Information Systems. Link

🟢 [Aug 20, 2023] The work entitled “Learning How To Augment Data: An Application To Biomedical NER” has been presented to the Knowledge Discovery in Healthcare Data (KDH) workshop, held in Macao in conjunction with IJKAI. Link