Digital Health and Medical Informatics
Creating integrative, data-driven frameworks for understanding and improving health through natural language processing and semantic analysis.
Research
Evidence systems for health, language, and society.
My research develops data-driven methods for NLP, digital health, computational social science, multimodal analysis, and research evaluation.
Research areas
Current themes
Natural Language Processing
Developing advanced NLP techniques for extracting insights from clinical text, social media, and scientific literature.
Computational Social Science
Exploring how online discourse, visual culture, and behavioural signals reflect public perceptions and cultural narratives around health and society.
Data Standardisation and Integration
Developing standards and frameworks for integrating diverse healthcare data sources into cohesive, actionable insights.
Scientometrics and Research Evaluation
Using knowledge graphs and large-scale trend analyses to map interdisciplinary connections and identify emerging frontiers in digital health.
Method stack
From heterogeneous signals to usable evidence
The work is designed around pipelines that can be explained, reused, and adapted across clinical, public, and institutional research settings.