I am currently a third year PhD student at Lancaster University as part of the STOR-i doctoral training programme. My project concerns the development of projective clustering methodology for high-dimensional, non-linearly separable datasets.
I studied for my BSc degree in Mathematics at the University of Salford. There I developed an interest in both Statistics and Operational Research and aim to take these studies further throughout the coming years.
The aim of this website is to give you more information about myself, my background and my interests. If you should have any further queries please feel free to contact me.
I originally from Stockport, South Manchester but now live in the centre of Lancaster with my partner, along with my two pet chinchillas, Cinza and Gizmo.
Outside of my studies I enjoy a number of activities. In particular I have a strong interest in driving and am myself a member of the Institute of Advanced Motorists (IAM). As part of my membership I volunteer as an "observer" which includes instructing others on how to pass the Advanced Driving Test and become a member of the IAM. This involves taking people out in their own vehicle and giving them tuition on their driving style, in particular, the standard expected is to follow the same "system of car control" as class 1 police drivers, as documented in the police driver's handbook "Roadcraft".
Aside my interest in driving, I also take part in a variety of fitness classes and, where possible, I like to travel with friends.
Having enjoyed mathematics from a young age and showing an aptitude for the sciences throughout my school years, I undertook A-levels at Cheadle and Marple Sixth Form in Mathematics, Physics, Chemistry and English Literature. On leaving college with 4 A's I then chose to study Mathematics at the University of Salford.
During my three year undergraduate studies, I undertook a number of modules covering a wide range of mathematical topics, the majority of which were applied. From early on in my degree I took a keen interest in Probability and Statistics and developed a good understanding of many aspects of the topic.
Coming towards the end of my studies at Salford, I developed an interest in Bayesian Inferece and undertook to apply these principles in my final year project which aimed to improve road safety. The two aspects I considered were the potential benefits of further driver training (in particular the Advanced Driver training offered by the Institute of Advanced Motorists) and potential improvements to road junctions to reduce waiting times of vehicles. This was achived with both data analysis and computer simulation in MatLab.
Having enjoyed my undergraduate studies and graduated with a First Class BSc (Hons) I was keen to improve my skills in Statistics further and as such I decided to undertake the STOR-i doctoral training programme offered by Lancaster University.
During the first year of the STOR-i programme I completed the MRes component of the course. This involved taking a number of taught modules in both Statistics and Operational Research, such as Likelihood Inference, Bayesian Inference, Optimisation, Probability and Stochastic Porcesses, Computationally Intensive Methods, Computer Simulation, Extreme Value Theory and Data Mining, along with a number of short research projects. On completion of this I was awarded a Distinction.
I am currently in the third year of my PhD studies as part of the STOR-i doctoral training programme at Lancaster University.
My project is jointly supervised by Nicos Pavlidis and Chris Sherlock and involves the development of clustering methodology in the case of datasets which contain a large number of variables of diverse types (high-dimensional mixed data). For a full project description, please click here
STOR-i is a doctoral training programme based at Lancaster University and funded by the Engineering and Physical Sciences Research Council (EPRSC). It was created as joint venture between the Mathematics and Statistics and the Management Science departments. This offers a four-year PhD programme in Statistics and Operational Research (STOR) developed and delivered with industrial partners. A key theme of the programme is working amongst a cohort of like-minded peers.
The first year of the programme comprises taught courses, projects and group activities to give a robust grounding in Statistics and Operational Research (STOR), develop key research skills and identify research agenda. Successful completion of this year leads to a further three years of PhD study with real life commercial challenges and the opportunity to conduct leading-edge STOR research.
If you would like any further information regarding my work, please contact me via the address below or click here to contact me by email.