Josh Gray

Currently studying a PhD in Computing, investigating how quantum computing can be used to improve performance of machine learning models utilising computer vision. Research interests include computing, machine learning, mathematics, and health data science.

Office of the National Statistics Accredited Researcher

Research interests:

My main area of research interest is the application of mathematical models to benefit society and public health. Currently I am researching the impact of quantum computing algorithms on real-time neural network performance. Real-time neural networks have the potential to detect harmful events as quickly as possible, potentially mitigating the consequences of such an event. In the past I have used advanced statistical models to determine patient risk factors impacting the likelihood of adverse health outcomes. I am always keen to learn more about the underlying algorithms which can potentially benefit society.

Grants contracts:

01/10/2024 - 30/09/2028, University of Plymouth Research Studentship, "Real-time fall prediction and detection system for the elderly in care homes based on quantum computing and artificial vision", £74,823.
01/09/2022 - 31/08/2024, NIHR Pre-Doctoral Fellowship (302739), "Risk factors for adverse health outcomes following kidney transplantation", £84,248.