Health Data Analytics: Privacy-First Advanced Statistics

Principal Statistical providing independent statistical leadership for Public Health and Life Science Research

Health data analytics projects require more than analysis alone. They require senior statistical leadership to ensure methodological rigor, valid interpretation, and decision-ready evidence. I work with research teams, public health organisations, and life sciences partners to lead statistical strategy, analyse anonymised health data, and deliver robust scientific insights.

Working exclusively with anonymised data allows organisations to move rapidly from data transfer to insight, without data privacy or liability constraints.

Trained in Public Health at Imperial College London, expertise includes epidemiology, statistical modelling, and machine learning applied to real-world health data.

All work is conducted personally, ensuring continuous scientific oversight and accountability throughout the full analytical lifecycle, from raw dataset to final report.

Types of Organisations Supported

Rigorous statistical analysis is provided to:

• Universities and academic research teams

• Public health organisations

• NGOs and global health programmes

• Health and life sciences organisations

Data Privacy & Security

All work is conducted exclusively using fully anonymised datasets. No identifiable personal data is required or accepted.

This ensures compliance with data protection standards and enables efficient, secure analysis.