I am a multidisciplinary researcher with a background in cognitive science, machine learning, and NLP. Currently, I am a Research Fellow (Scientific Project Officer) at the European Commission Joint Research Centre (JRC), in the digital health unit. My work focuses on explainability and multimodality. In particular, I am interested in integrating graph-based representations and biological domain knowledge within LLMs, and using explainability and mechanistic interpretability to understand the behaviour of multimodal biomedical models and mitigate implicit biases that influence their diagnostic decision-making processes

Before joining the JRC, I was a postdoctoral researcher in the Artificial Intelligence Research Group at the University of Sussex, where I also earned my PhD in Informatics. My thesis examined how LLMs and other machine learning models learn to handle linguistic abilities such as compositionality, generalisation, and inference.

Occasionally, I work on problems related to dream analysis, such as adopting LLMs to annotate and analyse dream content for research purposes.

News

• September 2025: We will be presenting 4 papers at the 11th International Conference on Machine Learning, Optimization, and Data Science(LOD 2025) with subject varying from text-to-graph to dream analysis (see publication page for titles).
• July 2025: We will present our paper on Task-level XAI for biological sex biases in the medical domain at the Gender Bias in NLP (GeBNLP) workshop at ACL 2025.
• July 2025: Our work on conformal prediction for nodule detection has been accepted for publication at COPA 25 conference.
• June 2025: Our work Dreams are more “predictable” than you think has been accepted for publication.
• May 2024: Our work On Constructing Biomedical Text-to-Graph Systems with Large Language Models got accepted for publication at EWCS’ KNOWLEDGE GRAPH GENERATION FROM TEXT (TEXT2KG) workshop.
• April 2024: Invited talk at the CBS Research Seminar of The Hong Kong Polytechnic University, titled “Field of dreams: applying NLP to automatize dream content analysis”.
• Junary 2024: Our work Automatic Annotation of Dream Report’s Emotional Content with Large Language Models got accepted for publication at EACL 2024 Computational Linguistics and Clinical Psychology workshop.
• September 2023: I joined the European Commission Joint Research Centre (JRC) as a research fellow in AI for health.
• May 2023: DReAMy has been updated to version 1.5 🥳! Check out the Git repo for Colab/notebook tutorials, and the Twitter post for a quick summary of the new features.