Panagiotis (Panos) Fytas

I am a PhD researcher at the Language Technology Lab in the University of Cambridge, where I work on biomedical AI, clinical NLP, multimodal learning and biomedical language models. I am supervised by Prof. Anna Korhonen and funded by the Harding Distinguished Postgraduate Scholars Programme.

My research focuses on developing, validating and evaluating AI/ML systems for real-world biomedical problems using electronic health records, clinical images, radiology reports and biomedical literature. My recent work includes pathology classification and radiology report modelling from chest X-rays, clinically relevant multimodal representation learning, and gene-disease relation extraction with large language models.

My interests span multimodal NLP, biomedical machine learning, explainable AI, representation learning, self-supervised learning and clinically meaningful evaluation. A central theme of my PhD is building interpretable multimodal models that can support clinical decision making while remaining robust to noisy labels and imperfect biomedical reference standards.

Before Cambridge, I completed an MSc in Advanced Computing at Imperial College London, graduating top of the programme and receiving the Winton Capital Prize for Best MSc Advanced Computing Student. I also hold a diploma (BEng & MEng equivalent) in Electrical and Computer Engineering from the National Technical University of Athens.