Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Kirubin Pillay

DPhil MEng ACGI


Postdoctoral Research Associate

Kirubin completed his MEng degree in Biomedical Engineering at Imperial College London in 2014. His projects during this time focussed on applications of electrical engineering, digital signal processing and machine learning to the development of novel rehabilitation devices. His Masters project culminated in an eye-tracking wheelchair for upper limb amputees. 

Kirubin then moved to the University of Oxford where he completed a DPhil in 2019 as part of the Centre for Doctoral Training (CDT) in Healthcare Innovation. His DPhil research focussed on applying machine learning methods to track neurodevelopment in preterm babies from background EEG sleep-wake cycling patterns.

In 2019, Kirubin joined the Paediatric Neuroimaging group as a Postdoctoral Research Associate. His focus is on applying data-driven methods and predictive modelling as a means to quantify infant pain and brain maturation from EEG and vital sign measurements.