Within weeks of starting his PhD foundation year Junyi had already begun working with an Edinburgh University professor on comparative risk predictions for COVID-19 patients from different socio-economic backgrounds.

After a first degree in computer science in China, he began a PhD at the University of Illinois but was unable to complete his studies after visa regulations were toughened, so was awarded an MSc for the work he had already done.

He said: “I very much wanted to continue my study in this field. So I searched the internet and found the HDR UK programme which matches my research interests and experience very well. That’s why I applied.”

Junyi has been working on health data science or health data mining since his undergraduate days back in 2018.

His main interest are in deep-based clinical predictive modelling with electronic health record (EHR) data, population-level spatio-temporal healthcare predictions and clinical trial optimisations.

To date Junyi’s research has been focussed on preventative health care modelling from population to individual level.

Looking ahead, these are likely to be the areas he will work in for his three-year PhD research project.

  • Junyi has a personal website which you can see here.