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.

Updates

• July 2026: Our preprint Evo 2’s Perception of Single Nucleotide Substitutions in the Genes of Two Plant Model Organisms is out.
• May 2026: Our paper PreDA: Prefix-Based Dream Reports Annotation with Generative Language Models has been published, and the models have been released.
• April 2026: We released a technical report on Artificial Intelligence in Cardiovascular Care .
• March 2026: Our work Disaster Storylines and Knowledge Graphs from Global News with Large Language Models and Retrieval-Augmented Generation has been published in Scientific Data. You can play with our platform here.
• January 2026: I will be at the MIT DreemXEngineering Symposium to present a work on multimodal xAI for dream detection in EEG signal.