I grew up near Southampton in the south of England. I became interested in Mathematics and Statistics during my secondary school and sixth form education, in many parts due to the great teachers I had.
Before joining STOR-i, I completed my undergraduate degree at Lancaster University. At university I took a variety of maths and statistics based modules. Having enjoyed my time here so much I applied to and was accepted onto the STOR-i programme.
Outside of STOR-i I enjoy walking, travelling and taking photographs, which can be seen from the images around my website.
STOR-i is an EPSRC Centre for Doctoral Training that offers a 4 year PhD programme in Statistics and Operational Research with stong links to industry. The programme consists of an MRes year (which I am currently in) and 3 years for the PhD. The above photo shows the current MRes year.
During the MRes we completed a mix of taught modules on Statistics and Operational Research alongside training to prepare for research. They assigned us group projects and problem solving days to give us experience in solving real life problems. We also received talks on many different research topics to further devlop our interests.
If you are interested in the course, watch the link below to get a better idea of what STOR-i is all about.
The University is situated in the North West of England and is one of the top ten Universities in all of England. If you are thinking about doing a degree in mathematics or any other subject, I recommend having a look at the prospectus.
Below is a brief description of what my project is about.
The NHS is under great pressure from an ageing population. Due to great advancements in modern medicine and other factors, the NHS and other social care services must provide the necessary care to a growing population of elderly people. This PhD project is partnered with Howz. Howz is based on research that implies changes in daily routine can indicate potential health risks. Howz use data from sensors placed around the house and other low cost sources such as smart meter data to detect these changes. Alerts are then sent to the household or immediate care facilitators, where permission has been granted, to check on their safety and well-being. To the NHS, early intervention such as this is likely to result in fewer ambulance call outs for elderly patients and fewer elderly requiring long hospital stays.
The objective of this PhD is to provide novel ways of automatically detecting changes in human behaviour using passive sensors in an online environment. The first focus of the PhD will create a method for detecting changes in a household’s behaviour at a device specific level through combining pattern recognition approaches with changepoint techniques. This is challenging due to the micro-scale variations of behaviour that mask the macro-scale changes we are interested in detecting.
Over the course of my masters, I was introduced to many research topics. If you wish to read more about them, they can be found in my blog.
STOR-i Centre for Doctoral Training
Science and Technology Building