A graduate of the MEngSc in Electrical and Electronic Engineering at University College Cork, Shuwen Yu joins the INFANT Research Centre to begin working on a PhD programme under the supervision of Professor Geraldine Boylan, Professor Liam Marnane and Dr Gordon Lightbody.

A stellar student at the North China Institute of Aerospace Engineering, where Shuwen received numerous awards and scholarships, including the China Space Foundation Scholarship, a National Scholarship of China and a China Aerospace Science and Technology Corporation Scholarship on his way to graduating with a Bachelor of Engineering in 2019.

One year later, Shuwen came to study at UCC, where he developed advanced skills in the field of automation and honed his knowledge of robotics.

In 2020 I came to Cork to study under Professor Liam Marnane and Dr Gordon Lightbody.

It was at UCC where I really learned a lot about Python and started to think about doing a PhD.

When I learned about the opportunity to study machine learning under Professor Marnane and Dr Lightbody at INFANT, my mind was made up.

Shuwen enrolled in the PhD programme in October and has begun working on the project to develop machine learning tools for clinical support in the protection of the neonatal brain.

The four-year project is part of a wider and more ambitious endeavour being undertaken by Professor Marnane and Dr Lightbody, who, alongside Professor Geraldine Boylan, are aiming to develop AI models that will help the early detection of neurological complications in infants and provide systems to allow for the effective monitoring of the efficacy of therapeutic interventions.

Specifically, Shuwen will be examining dynamic modelling techniques to help with the development of machine learning tools for clinical support in the protection of the neonatal brain.

Having just started the PhD programme in October, Shuwen is in the process of surveying data that he hopes will eventually help him to design a system that will result in better clinical outcomes for pre-term babies.