About Me

I'm Rohan Barrowcliff, a Health Data Scientist and AI researcher with a passion for applying advanced analytics to real-world healthcare challenges. My work sits at the intersection of clinical operations, machine learning, and natural language processing, helping healthcare teams make evidence-based decisions that improve patient outcomes and operational efficiency.

Background

With a strong foundation in digital healthcare and statistical modelling, I've worked across various healthcare settings to design and deploy data science solutions. My experience spans predictive analytics, clinical text mining, and the development of interactive dashboards that translate complex data into actionable insights for clinicians and operational teams.

I specialise in building end-to-end machine learning pipelines—from data extraction and feature engineering through to model deployment and monitoring. I'm particularly interested in interpretable AI, ensuring that models not only perform well but are also transparent and trustworthy in clinical contexts.

Expertise Areas

• Predictive Modelling: Time-to-event analysis, classification, regression, and ensemble methods
• Natural Language Processing: Clinical text extraction, sentiment analysis, and automated documentation
• Data Visualisation: Power BI dashboards, Streamlit apps, and interactive reporting
• Healthcare Analytics: Operational efficiency, patient flow optimisation, and clinical decision support

Currently Working On

I'm currently exploring advanced NLP techniques for automated clinical documentation and investigating novel approaches to improve the interpretability of deep learning models in healthcare settings.

Beyond Work

Outside of data science, I enjoy climbing, exploring new technologies, and staying current with the latest research in applied health data and AI ethics.