This website presents my independent research on how continuous glucose monitoring and insulin data can be used to better interpret glycemic risk in diabetes.
Modern diabetes metrics—such as time in range and the coefficient of variation—provide essential summaries of glucose exposure and overall control. However, they do not capture every pattern that may contribute to acute or long-term harm, and many clinically recognised patterns remain insufficiently validated for use in reports, guidelines, or treatment targets.
The figure illustrates one example of this broader aim: complementing familiar CGM reports with candidate dynamic-state measures that make glucose volatility, hypoglycemia phenotype, and insulin context more visible.
International working groups and professional societies play an essential role in refining CGM metrics, reporting standards, and clinical targets. This work is intended to support those efforts through complementary, physiologically informed analyses.
The central premise is that glycemic harm is unlikely to be fully captured by aggregate glucose metrics alone, even when used in combination; risk may depend on the broader dynamic metabolic state arising from interactions between glucose level, rate and direction of change, insulin activity, and recent glycemic history. By starting from clinical observations and individual glucose–insulin traces, the goal is to identify pattern-first hypotheses that can be tested in larger datasets and translated into practical metrics, thresholds, reference ranges, and visualisations.
About me
I have lived with type 1 diabetes for 14 years. I have a PhD in Engineering Science from the University of Oxford and a background spanning academic research and senior engineering roles in the technology industry, with extensive experience in statistical analysis, modelling, and optimisation. My research on glycemic variability and CGM interpretation has been published in Diabetes Care, Diabetes Technology & Therapeutics, and the Journal of Diabetes Science and Technology.
Contact
Get in touch at robert.richardson@glycemia.org for enquiries, collaborations, or feedback.
Robert Richardson 