Creating data-driven frameworks for understanding and improving health through natural language processing, semantic analysis, multimodal integration, and reproducible evidence design.
Creating integrative, data-driven frameworks for understanding and improving health through natural language processing and semantic analysis.
Developing advanced NLP techniques for extracting insights from clinical text, social media, and scientific literature.
Exploring how online discourse, visual culture, and behavioural signals reflect public perceptions and cultural narratives around health and society.
Developing standards and frameworks for integrating diverse healthcare data sources into cohesive, actionable insights.
Using knowledge graphs and large-scale trend analyses to map interdisciplinary connections and identify emerging frontiers in digital health.
The work is designed around pipelines that can be explained, reused, and adapted across clinical, public, and institutional research settings.
Signals
Clinical text, social media, literature metadata, wearables, images, and patient-reported outcomes.
Methods
Natural language processing, semantic modelling, knowledge graphs, multimodal integration, and evaluation design.
Outputs
Reusable pipelines, evidence maps, dashboards, decision-support prototypes, and publication-ready analyses.
I am open to collaboration on digital health, medical informatics, NLP, and multimodal research systems.