Advanced Quantitative Methods Alumni

  • James Sammut

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2018

    Research topic: Decision Support for Climate Change Adaptation Policy

    Research supervisors: Dr Levi Wolf

    Email: js13608@my.bristol.ac.uk


  • Emily Sewell

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
    Q-Step Centre, College of Social Sciences and International Studies, University of Exeter

    Start date: September 2017

    Research topic: Family socialisation processes in the development of political attitudes over the life course

    Research supervisors: Professor Susan Banducci

    Email: ess208@exeter.ac.uk


  • Dr Bobby Stuijfzand

    Advanced Quantitative Methods Alumni


    School of Experimental Psychology, University of Bristol

    Graduation date: 2017

    Research topic: Advanced statistical methods to interpret eye movements: On time-series and individual differences

    Current position:

    I am now a data scientist at the Jean Golding Institute for Data-Intensive Research here at the University of Bristol

    Twitter: https://www.twitter.com/BobbyGlennS


  • Dr Mark Hanly

    Advanced Quantitative Methods Alumni


    School of Economics, University of Bristol

    Graduation date: 2015

    Research topic: Applications of Call Record Data to Nonresponse Bias Adjustment

    Current position:

    I am a research fellow at the Centre for Big Data Research in Health at UNSW Sydney. In that role, I work as a statistician on large linked-data projects, focussing on early childhood health and development

    Email: m.hanly@unsw.edu.au

    Website/Blog: https://cbdrh.med.unsw.edu.au/people/mr-mark-hanly


  • Dr Andrew Bell

    Advanced Quantitative Methods Alumni


    School of Geographical Sciences, University of Bristol

    Graduation date: 2014

    Research topic: Understanding spatial and temporal heterogeneity and context in the social sciences, using panel data

    Current position:

    I am now a lecturer in Quantitative Social Sciences at University of Sheffield

    Twitter: https://www.twitter.com/andrewjdbell

    Website/Blog: https://www.sheffield.ac.uk/smi/about-us/andrew-bell


  • Dr Emily Eyles

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods
    School of Geographical Sciences, University of Bristol

    Start date: September 2015

    Research topic: Perceived, self-rated, and objective measures of health by employment status: A comparison of four neighbourhoods in south-west England

    Research supervisors: Professor Clive Sabel, Dr David Manley

    Email: ee15592@bristol.ac.uk


  • Dr Amy Sweet

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2015

    Research topic: The impact of segregation on children and young people over time

    Research supervisors: Professor Richard Harris, Dr David Manley

    Email: amy.sweet@bristol.ac.uk


  • Dr Lucy Prior

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2015

    Research topic: Investigating relationships of neighbourhood deprivation, social capital and stress on health and wellbeing

    My research concerns the mechanisms and temporality of the relationships between neighbourhood deprivation, social capital and stress with overall health and wellbeing. My research draws on life-course and biosocial theories and employs advanced quantitative techniques, particularly multilevel modelling and mediation analysis to expose complex health and place relationships. I am using data from the British Household Panel Survey and the Understanding Society study to conduct the research.

    Research supervisors: Dr David Manley, Professor Kelvyn Jones

    Email: lp0841@bristol.ac.uk


  • Dr Nina Zhang

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2014

    Graduation date: March 2019

    Research topic: A case study of rural migrant workers gendered employment choices in China

    Research supervisors: Dr Winnie Wang, Professor Richard Harris

    Email: nina.zhang@bristol.ac.uk


  • Dr Gareth Griffith

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2014

    Research topic: Modelling of changing mental well being using Understanding Society data and random coefficient models

    Research supervisors: Professor Kelvyn Jones, Dr George Leckie

    Email: g.griffith@bristol.ac.uk


  • Dr Gwilym Owen

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2013

    Research topic: Multilevel modelling of health inequalities in the UK using Understanding Society and the Millennium Cohort Study

    Research supervisors: Professor Richard Harris, Professor Kelvyn Jones

    Email: gwilym.owen@bristol.ac.uk


  • Tom Owton

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences, University of Bristol

    Start date: September 2016

    Research topic: Social Vulnerability Mapping

    I attempt to develop new methods of mapping natural hazard social vulnerability in developing countries. Where “social vulnerability” refers to the well-established phenomenon that people of certain social groups are more negatively affected by natural hazards. With regards to informal settlements official statistics such as census data are typically lacking and surveys are expensive and difficult to collect. As a result, my research attempts to use sources of data from in particular remote sensing to map social vulnerability, such as brightness at night and information derived from visible light satellite imagery.

    Research supervisors: Dr Sean Fox, Dr Jeffrey Neal

    Email: to12018@bristol.ac.uk


  • Dr Alex Kwong

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences/Centre for Multilevel Modelling, University of Bristol

    Start date: September 2016

    Graduation date: January 2020

    Research topic: Genetic and environmental contributions to psychiatric disorders

    Both genes and the environment contribute to psychiatric disorders, however the extent to which they both contribute and interact to cause illness is still poorly understood. Modelling longitudinal data is one way to explore this relationship. My research uses data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and statistical techniques such as multilevel modelling (MLM) to address this topic.

    Research supervisors: Dr David Manley, Dr Nic Timpson, Dr George Leckie, Dr Evie Stergiakouli

    Email: alex.kwong@bristol.ac.uk

    Twitter: https://twitter.com/asfkwong

    Website/Blog: http://www.bristol.ac.uk/geography/people/alex-s-kwong/index.html


  • Dr Tim Morris

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    School of Geographical Sciences / Centre for Multilevel Modelling, University of Bristol

    Start date: September 2014

    Research topic: Examining the impact of residential mobility in childhood and adolescence on health and educational outcomes

    My research employs longitudinal cohort modelling to examine the way in which key life events such as residential mobility in childhood and adolescence impact upon health and educational outcomes in these periods. My research is situated in an advanced quantitative framework and principally conducted on the Avon Longitudinal Study of Parents and Children, a Bristol based cohort of children born in the early 1990’s, and draws on elements from the epidemiological, educational, geographical, and broad social science disciplines.

    Research supervisors: Dr David Manley , Professor Clive Sabel

    Professional memberships/Positions held:

    Society for Social Medicine

    Email: tim.morris@bristol.ac.uk

    Twitter: https://twitter.com/bristimtom

    Website/Blog: http://research-information.bristol.ac.uk/en/persons/timothy-t-morris(bd60db65-0185-4afa-9612-5d21bbc29a78).html


  • Dr Beatriz Gallo Cordoba

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    Graduate School of Education, University of Bristol

    Start date: September 2015

    Research topic: Ethnic Segregation and Academic Attainment in Colombia

    My research concerns the link between ethnicity and pupils’ attainment. In particular, the research employs multilevel modelling to understand the link between ethnic segregation and ethnic attainment gaps at the end of compulsory education in Colombia.

    Research supervisors: Dr George Leckie, Dr William J Browne

    Email: beatriz.gallocordoba@bristol.ac.uk

    LinkedIn: https://uk.linkedin.com/in/beatriz-gallo-córdoba-334b4236


  • Dr Satpal Singh Sandhu

    Advanced Quantitative Methods Alumni

    PhD Researcher in Advanced Quantitative Methods (ESRC +3)
    Centre for Multilevel Modelling, Graduate School of Education, University of Bristol

    Start date: September 2016

    Graduation date: January 2020

    Research topic: Analysis of longitudinal craniofacial growth data to examine growth trajectories and pattern, factors influencing their growth, and to develop growth prediction model

    My research involves adaptation and development of Advanced Quantitative Methods for modelling complex longitudinal craniofacial growth data. The objective is to advance understanding of craniofacial growth process (primary focus would be face) from early childhood through to adulthood. My research is based on the data collected from various historic longitudinal growth studies conducted in the 20th Century and presently part of American Association of Foundation Legacy (AAOFL) collection database.

    Research supervisors: Dr George Leckie, Professor Kate Tilling

    Professional memberships/Positions held:

    Growth Modelling Group, School of Social and Community Medicine and Spatial Modelling Group, School of Geographical Sciences, University of Bristol

    Email: satpal.sadhu@bristol.ac.uk