Lucy Prior

MSci Geography (University of Bristol)
1st year Supervisors: David Manley and Clive Sabel
Topic Assessing relationships between neighbourhood characteristics and health biomarkers

"Having completed my undergraduate degree at Bristol I knew the quality of the teaching and the learning environment that joining the AQM programme would offer, so for me it was a really easy choice. After a year out working I'm also keen to redevelop and expand my quantitative skills, especially in the interdisciplinary pathway of the AQM which provides a wealth of expertise and different perspectives."

Bobby Stuijfzand

MSc Educational Sciences (Research master, Utrecht University, The Netherlands)
3rd year Supervisors: William Browne and Roland Baddeley
Topic Advanced statistical methods to interpret eye movements: what does where one looks tell you about you?

"During my masters I became intrigued by the potential of eye tracking for tapping cognitive processes within learning and development. While working with eye tracking data, I experienced the challenges eye movements pose for conventional statistical analyses. I got interested in how to address these statistical challenges and applied to the AQM pathway at Bristol with a research idea in this area. The AQM pathway in Bristol attracted my attention given the programme promised to generously facilitate my own research project, including having two supervisors who are well-respected in their fields. 

After two years in, I find that my skills are growing thanks to good supervision, but also thanks to the time and facilities that are available within the pathway. Furthermore, the scholarship allows for a good amount of travelling to visit conferences and scholars from different universities. This has helped me to set up very interesting collaborations and applications of my project within different contexts, which also helps building a network that will (hopefully) prove useful post-PhD as well. I think the opportunity of focusing on your own project with this kind of support is a great one, and I would gladly recommend looking into this if you are a quantitatively minded aspiring PhD student."


Kaylee Perry

BSc Geography (University of Bristol), MSc Operational Research & Applied Statistics (Cardiff University)
2nd year Supervisors: David Manley and Maria Fannin
Topic Locating the neighbourhood effect on health outcomes: taking account of social capital and neighbourhood conceptualisations.
"I chose the AQM pathway due to its extensive efforts to provide relevant training and resources.  In addition to this, the regular bimonthly reading and research groups are a great basis of support and encouragement which has proved useful in the time I have been here.  There is a wide range of expertise within the team and everyone involved is always more than happy to help, promoting an interdisciplinary approach which is ideal for future research."


Tim Morris

BSc Geography, Coventry University; MSc Geography & Sustainable Development, Exeter University
2nd year Supervisors: David Manley, Clive Sabel & Kate Northstone
Topic Social influences on health behaviours and mental health outcomes

"The AQM pathway at Bristol offers an excellent opportunity to collaborate with an interdisciplinary group of experts on a range of quantitative methodological and substantive areas within the social sciences. There are various research groups within both the CMM and other departments that meet regularly and offer a friendly and relaxed atmosphere to discuss ideas and present findings. There are also a number of excellent formal training opportunities available. The PhD as well as the academic community at Bristol is also vibrant and supportive and there are a wide range of activities going on within the groups and across the university. "

Beatriz Gallo Cordoba

Bsc Economics and International Business, and MSc Economics (Universidad Icesi)
1st year Supervisors: George Leckie and William Browne
Topic Ethnic segregation and academic achievement in Colombia

"I chose the AQM pathway to broaden my quantitative data analysis toolkit. Specially, because of the opportunity to work with a team of world-class of interdisciplinary experts in quantitative methods."