Novo Nordisk Postdoctoral Research Fellow
I received an MEng degree in bioinformatics and mathematical modelling from Institut National des Sciences Appliquees de Lyon, France, in 2013. I received a PhD degree in biomedical engineering from the University of Cambridge in 2016 and continued in the same university as a Research Associate. My research interests include developing a medical device known as the 'artificial pancreas', mathematical modelling of the metabolic and endocrine system in diabetes, performing in silico simulation tests, and applying advanced statistical tools on clinical data, with a particular interest in the Bayesian techniques.
In 2017, I was awarded a Novo Nordisk Postdoctoral Fellowship to undertake a project about personalisation of glycaemic regimes to reduce in-hospital hypoglycaemia. This project involves developing a personalised algorithm for hypoglycaemia risk prediction based on which individualised blood glucose optimising regimes can be implemented and applied to in-hospital patients. A cost-benefit analysis will be undertaken and a clinical trial will be able to test the safety and efficacy of the algorithm. For this multidisciplinary project, I collaborate with Dr Rustam Rea, Dr Alistair Lumb and Dr Garry Tan from the Oxford Centre for Diabetes, Endocrinology & Metabolism, Professor Jim Davies from the Department of Computer Science and Professor Mihaela van der Schaar from the Department of Engineering Science.
Inpatient hypoglycaemia: understanding who is at risk.
Ruan Y. et al, (2020), Diabetologia, 63, 1299 - 1304
Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.
Ruan Y. et al, (2020), Diabetes Care, 43, 1504 - 1511
Importance of inpatient hypoglycaemia: impact, prediction and prevention.
Ruan Y. et al, (2019), Diabet Med, 36, 434 - 443
Bolusing frequency and amount impacts glucose control during hybrid closed-loop
Bally L. et al, (2018), Diabetic Medicine, 35, 347 - 351
Cover Image, Volume 19, Issue 10
Ruan Y. et al, (2017), Diabetes, Obesity and Metabolism, 19, i - i