Tom Statham
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC +3)
School of Geographical Sciences/Centre for Multilevel Modelling, University of BristolStart date: October 2019
Research supervisors: Rich Harris, Sean Fox, Levi John Wolf
Samir Sweida-Metwally
Advanced Quantitative Methods Alumni
ESRC (+3)
School of Sociology, Politics and International Studies, University of BristolStart date: March 2019
Graduation date: March 2023
Research topic: Beyond labour market status: Investigating the Muslim penalty in the British labour market.
Research supervisors: Dr Saffron Karlsen, Dr Siobhan McAndrew
Professional memberships/Positions held:
Centre for the Study of Ethnicity and Citizenship, Migration Mobilities Bristol, American Academy of Religion (AAR), Society for the Scientific Study of Religion (SSSR), Society for Longitudinal and Life Course Studies, Centre for Multilevel Modelling, Bristol Poverty Institute, TOR reviewer (2020-2021)Email: samir.sweida-metwally@bristol.ac.uk
Maria Cristina Montero de Espinosa
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC +3.3)
College of Social Sciences and International Studies, University of ExeterResearch topic: Impacts of corporate agri-business on Bolivia’s Indigenous Peoples: a case study of soya bean value chains in the region of Santa Cruz.
Former Bolivian president, Evo Morales, had been criticized for accommodating neoliberal policies and state-corporate alliances, widely considered to harm the people who supported his election into office. By using difference in difference with matching, as well as the synthetic control method, which is innovative to social sciences, my aim with this project is to provide new insights on the impacts of Public Private Partnerships (PPPs) for development and examine how such partnerships may, contrary to popular opinion, actually be improving the livelihoods of indigenous peoples.Research supervisors: Dr Gabriel Katz (University of Exeter), Dr Andres Sandoval Hernandez (University of Bath)
Email: mm927@exeter.ac.uk
Twitter: https://twitter.com/MCristinaMonte3
Oby Bridget Azubuike
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC +3)
School of Education/Centre for Multilevel Modelling, University of BristolStart date: October 2020
Research topic: Open to all, accessible by few: A multilevel modelling and secondary data analysis of access barriers to Higher Education in Nigeria and the role of parental perceptions of Higher Education
My research seeks to identify the barriers at different organisational levels that affect access to higher education (HE) in Nigeria and the additional role that parental perception of education plays. I intend to answer my research questions by conducting a programme of original item response theory, multilevel, and structural equation modelling analyses of complex clustered secondary data on two cohorts of individuals, households and communities data as it relates to access to Higher Education in Nigeria.Research supervisors: Professor George Leckie, Professor William Browne
Professional memberships/Positions held:
SWDTP Student RepEmail: bridget.azubuike@bristol.ac.uk
LinkedIn: https://www.linkedin.com/in/oby-bridget-azubuike/
Twitter: https://twitter.com/oby_bridget
Hope Kent
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods ESRC (+3)
College of Life & Environmental Sciences, University of ExeterStart date: October 2020
Research topic: Suicidality, violence, and recidivism in the criminal justice system: Using multilevel modelling and machine learning algorithms to predict, understand, and reduce risk.
My research project is looking at applying advanced statistical models, including machine learning and multilevel modelling, to large forensic datasets. This includes datasets from prisons and from alternative provision school settings. The aim of this is to better understand and predict risk of outcomes such as violence, poor mental health, and recidivism in prisoners, and contact with the criminal justice system in adolescents. I am interested in the cumulative risk effects of the presence of neurodisabilities (including autism and traumatic brain injury), the lifetime impact of traumatic experiences, and risk factors associated with belonging to minority ethnic groups.Research supervisors: Professor Huw Williams (Exeter), Professor George Leckie (Bristol)
Professional memberships/Positions held:
British Psychological Society Graduate Member.Email: hnk201@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/hope-kent-4642821b5/
Twitter: https://twitter.com/HopeKent20
Lenka Hasova
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC +3)
School of Geographical Sciences/Centre for Multilevel Modelling, University of BristolStart date: September 2019
Research topic: Machine learning methods for Urban Flows: spatial effects in Origin- Destinations
My research looks at different forms of urban flows, such as Intra-national Migration or patients flows within City of Bristol, and explores the ways we try to predict them. This includes review of methodologies that has been developed in past, but mainly explores the suitability of Machine Learning algorithms for flow prediction. Most importantly, the focus of the research is on the spatial effects we observe in urban flow data, which are the main feature of the urban flows. Predicting human flows can be beneficial in wide range of fields, transport, urban planning and even health care.Research supervisors: Richard Harris , Levi John Wolf
Email: lenka.hasova@bristol.ac.uk
LinkedIn: https://uk.linkedin.com/in/lenka-ha%C5%A1ov%C3%A1-88340a88/en
Twitter: https://twitter.com/LenkaHas
James Sammut
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
School of Geographical Sciences, University of BristolStart date: September 2018
Research topic: Decision Support for Climate Change Adaptation Policy
Research supervisors: Dr Levi Wolf
Email: js13608@my.bristol.ac.uk
Yunqi Zhou
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
School of Geographical Sciences, University of BristolStart date: September 2018
Research topic: Health promotion, health behaviour and prevalence of disease: a spatio-temporal analysis based on social media data
Research supervisors: Prof Rich Harris, TBD
Email: ql18400@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 ExeterStart 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 BristolGraduation 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 BristolTwitter: https://www.twitter.com/BobbyGlennS
Dr Mark Hanly
Advanced Quantitative Methods Alumni
School of Economics, University of BristolGraduation date: 2016
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 developmentEmail: 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 BristolGraduation 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 SheffieldTwitter: https://www.twitter.com/andrewjdbell
Website/Blog: https://www.sheffield.ac.uk/smi/about-us/andrew-bell
Laura Scheinert
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC +3)
College of Life and Environmental Sciences, University of ExeterStart date: September 2018
Research topic: Supporting judges in asylum adjudication – the role of judicial training
My PhD explores the training of judges who hear asylum appeals. The project proposes a mixed methods approach. The purpose is to arrive at a well-rounded picture of asylum-related training and its role in supporting judges in adjudicating asylum (in the UK context). I will combine quantitative and qualitative methods, to both trace second-instance evaluations of first-instance judicial decisions (text mining “error of law” findings), and to capture relevant individuals’ views and experiences of training (observation, interviews/ focus groups). The novelty in the proposed approach lies in making a new field fruitful for text mining and mixed methods analysis.Research supervisors: Professor Nick Gill , Dr Emma Tonkin , Dr Ana Beduschi
Email: l.scheinert@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/laurascheinert/
Rhiannon Moore
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
School of Geographical Sciences / School of Education, University of BristolStart date: September 2017
Research topic: Exploring the impact of teacher motivation and classroom practices on student learning in India
My research looks at the relationship between teachers’ levels of professional motivation and student learning attainment within secondary school classrooms in two states in India. The context for this research is the ‘learning crisis’ which existing research has highlighted within Indian schools in recent years, with evidence of a decline in learning levels despite increased enrolment, declining class size and greater teacher availability. I am interested in understanding more about the influence of teachers within this ‘learning crisis’.Methodologically, my interests are in defining a measure of the latent trait of teacher motivation, and in modelling the pathways through which this influences how teachers teach, and how much students learn.
Research supervisors: Professor Sally Thomas, Dr George Leckie
Email: rhiannon.moore.2017@my.bristol.ac.uk
Twitter: https://twitter.com/Rhi_Moore
Kiran Arabaghatta Basavaraj
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 ExeterStart date: September 2017
Graduation date: October 2022
Research topic: Democratizing or Disrupting? The role of Campaign (Mis)information in the 2019 National Election in India
My research examines: a) the campaign (mis)information on the social media, and b) voter perception towards misinformation, during the 2019 national election in India. Using Natural Language Processing, Machine Learning techniques and other computational methods, I explore the information space for misinformation, and measure its volume and diffusion, identify the characteristics of the content, medium of propagation (Facebook and Twitter), dissemination strategies, and examine whether the correction of misinformation matters, thereby addressing the supply-side and consumption side of the campaign misinformation. Further, through social network analysis I analyze the misinformation sharing eco-system.Kiran has recently been selected as a Junior Fellow for the 2022 cohort of Electoral Integrity Project’s 2022 Fellowship programme, for his project “Misinformation, Campaigning and Perceptions of Electoral Integrity in India”.
Research supervisors: Professor Susan Banducci, Dr. Iulia Cioroianu
Professional memberships/Positions held:
Member: 1) Midwest Political Science Association (MPSA), 2) WAPOR AsiaEmail: ka385@exeter.ac.uk
LinkedIn: https://www.linkedin.com/in/kiran-a-basavaraj-b110b214a/
Twitter: https://twitter.com/kiranabasavaraj
Kalyan Kumar
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods (ESRC 1+3)
Faculty of Humanities and Social Sciences, Department of Social and Policy Sciences/Department of Education, University of BathStart date: October 2017
Graduation date: June 2023
Research topic: Accountability & Learning Outcomes in School Education System: Examining Cross-Contextual Public Secondary School Education Systems
Despite the progress made in the last few decades in developing countries, evidence demonstrates a lack of translation of schooling into learning. The role of systemic factors such as accountability processes continues to remain under researched amidst the prevailing challenges. In this backdrop, my research seeks to bridge the knowledge gap by studying, how accountability processes in public secondary school education systems affect the learning outcomes of students from various socio-economic backgrounds? My study employs a systems approach which views school system as a set of or a network of relationships and cumulative practices occurring in a particular format.You can find a recent article from Kalyan here
Research supervisors: Dr Andres Sandoval-Hernandez, Dr Liz Washbrook
Email: kkk44@bath.ac.uk
Dr Emily Eyles
Advanced Quantitative Methods Alumni
PhD Researcher in Advanced Quantitative Methods
School of Geographical Sciences, University of BristolStart date: September 2015
Graduation date: January 2020
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 BristolStart date: September 2015
Graduation date: June 2019
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 BristolStart date: September 2015
Graduation date: October 2019
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 BristolStart 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 BristolStart date: September 2014
Graduation date: January 2019
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 BristolStart date: September 2013
Graduation date: May 2017
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 BristolStart 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 BristolStart 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 BristolStart 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 MedicineEmail: 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 BristolStart date: September 2015
Graduation date: November 2019
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 BristolStart 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 BristolEmail: satpal.sadhu@bristol.ac.uk
