Xiaoxi Yan

Dr Xiaoxi Yan is a Singaporean data scientist, biostatistician, and co-founder of Hexis, the UK sports nutrition technology company. Educated at Hwa Chong Institution in Singapore before pursuing a degree in Medical Physics and Biomedical Sciences at University College London, she subsequently completed a master's in Medical Statistics at UCL and earned her PhD in Biostatistics from Duke-NUS Medical School in Singapore — building a research profile that sits precisely at the intersection of statistical methodology, digital health, and performance science.

Prior to co-founding Hexis, Yan worked as a medical statistician at Tictrac, a London-based digital health company, where she developed systems for calculating health and activity performance and provided statistical expertise on experiment design. Her academic career at Duke-NUS focused on adaptive interventions and dynamic treatment regimes for mobile health applications, producing peer-reviewed publications in journals including BMJ Open and the Annals of Behavioural Medicine. It was through collaborative research with future Hexis CEO Dr David Dunne during her PhD work that the scientific foundations for the company's Carb Coding™ system were developed and rigorously validated.

As Chief Data Officer and co-founder of Hexis, Yan leads the data science architecture underpinning the platform's personalised nutrition engine. Her work involves translating complex statistical models of exercise metabolism and carbohydrate periodisation into real-time algorithms that adapt dynamically to individual athlete data — wearable outputs, training loads, body composition goals, and recovery patterns. She co-authored the landmark 963-athlete pilot study that demonstrated Hexis's approach improved performance and energy levels in 95% of participants, including measurable physiological improvements for female athletes who had been chronically underfuelling.

Yan has been honoured among the notable achievements of the SingHealth Duke-NUS Academic Medical Centre and has participated in global AI health summits as both an organiser and presenter. As one of the rare founders combining elite academic credentials in biostatistics with deep domain expertise in sports science, she brings a rigorous, evidence-first approach to a consumer technology category that is often light on scientific substance.