Hemangi Rajpara is a Health Data Specialist specialising in health data systems, epidemiological analysis, and the ethical application of artificial intelligence in healthcare. She holds a Master of Public Health from King's College London along with a specialisation in Molecular Medicine, and brings strong technical expertise in biostatistics, population health analytics, and evidence-based decision-making.
At the Health Data Forum, Hemangi supports research and strategic initiatives focused on data quality, governance, and equitable representation. Her work involves structuring and analysing complex health and policy datasets, as well as synthesising insights to inform public health intelligence and AI-readiness frameworks.
Her expertise lies in assessing the fitness of health data for AI such as identifying bias, gaps, and limitations to ensure datasets are robust, transparent, and suitable for responsible use. She aligns with the Real Data, Better AI approach, advocating for strong data foundations to prevent the amplification of health inequalities through emerging technologies.
Proficient in R and experienced in handling epidemiological datasets, Hemangi translates complex data into clear, actionable insights for diverse stakeholders. She is a strategic thinker and problem solver, known for bringing innovative, systems-level approaches to data challenges in public health.
With an interdisciplinary background in biomedical science and clinical research, she combines scientific depth with analytical rigour to deliver meaningful, data-driven impact across health systems.
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