Prof Andrew Smith
Prof of Consumer Behaviour, Andrew has extensive expertise in consumer behaviour theory, analysis of consumption patterns and application of novel time series analysis to consumer purchase data. He is published widely in the fields of: consumer behaviour and analytics; customer loyalty schemes; consumer privacy.
Dr James Goulding
Expert in Machine Learning for social good, James develops new statistical modelling techniques to analyse large-scale human behavioural data. He has extensive experience of coordinating large, international projects with grants of over £15m since 2015 covering: poverty; modern slavery; FGM; perinatal mortality; transport.
Dr Georgiana Nica-Avram
With a background in social marketing and consumer analytics, Georgie now develops methods that combine machine learning with qualitative research to better understand the people behind Big Data, with a particular focus on Food Poverty and Waste.
Dr Gavin Smith
Gavin specializes in temporal data mining and machine learning, focusing on development of novel data driven approaches to predict human behaviour in time series. He also researches how to ensure that techniques are applicable in real world scenarios, producing interpretable results.
Dr John Harvey
Behavioural social scientist and leading expert in use of network analysis to understand vulnerable communities. His research on the use of novel technologies to address food insecurity is widely internationally published, and has received extensive funding from ESRC, EPSRC, and Innovate UK.
Dr Bertrand Perrat
Expert in development of novel data-driven algorithms for geospatial information, Bertrand researches efficient and effective processing of large, geo-spatially enabled data sets in order to better understand, summarise and predict human behaviour - while ensuring appropriate interpretability for real world impact.
Dr Katie Severn
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Research Members
Dr Katie Severn
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Dr Harry Marshall
Harry’s research examines the potential of applied machine learning to social issues, ranging from ecology to vulnerability. He is part of the UKRI CIVIC project, examining the potential of mass behavioural datasets to reveal hidden insights about unrecorded COVID cases, predictors of potential outbreaks and impacts on vulnerable communities.
Dr Gregor Engelmann
Gregor’s research examines how mining CDR data can generate Social Good in areas of mobility mapping and urban planning. A specialist in international development analytics, Gregor is currently working on the AIDA project, examining child development in Malawi.
Dr Rosa Lavelle-Hill
Rosa’s research integrates psychological theory and machine learning to better understand and predict human behaviour in big data. Rosa is current a Fellow at The Alan Turing Institute, working on quantative analysis of the drivers of modern slavery both at neighbourhood levels (Tanzania) and at national scales (GSI).
rlavelle-hill@turing.ac.uk
rosa.lavelle-hill@nottingham.ac.uk
Dr Rachel Carrington
Rachel has a PhD in statistics, and works on new methods (AJIVE) fusing data streams such as earth observation imagery with survey and CDT data. She is part of the BEADS programme, and EPSRC project examining Gender Inequality in East Africa
Madeleine Ellis
Madeleine’s work combines the fields of mathematics and international development, examining how block-structure models can be extended to produce social good.
Vanja Ljevar
Vanja worked as a Senior Analyst before starting her multidisciplinary PhD about behavioural change and perceptions. She explores how people’s beliefs impact their behaviour by combining psychology theories and machine learning techniques.
Elizabeth Dolan
Elizabeth’s research is developing a framework for “Personal Data Donationâ€, specifically asking: how can personal transactional data be collected and analysed for the purposes of health research in a way that is acceptable to society, works for infectious and chronic disease, and can be successfully implemented in a clinical setting?
Roberto Mansilla
Roberto has an MSc in Analytics, and is researching how consumer loyalty card data can shed light on nutrition and health trajectories, while exploring new methods in variable importance (e.g. model class reliance)
Dominic Reedman-Flint
Dominic is exploring new data science methods to detect those at risk of social isolation. His PhD is in partnership with Ordnance Survey, and is investigating the interrelationship between the factors underpinning isolation and loneliness that might be revealed in digital data streams, from transport and mobility to social media usage.
Paul Haggar
Paul is working with N/LAB via the MOCHA project at the University of Cardiff (Lorraine Whitmarsh), examining how pro-environmental lifestyle changes might be achieved through understanding and harnessing ‘moments of change’ in life circumstances, examined through a lens of behavioural datasets, such as loyalty card data.
Associate Academics
Prof Nicola Pitchford
University of Nottingham, School of Psychology
nicola.pitchford@nottingham.ac.uk
Dr Anya Skatova
University of Bristol / Alan Turing Institute
anya.skatova@bristol.ac.uk
Researcher Name
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Researcher Name
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Research Support Team
Alison Brierley
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Janine Sey
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Researcher Name
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Prof Andrew Smith
Prof of Consumer Behaviour, Andrew has extensive expertise in consumer behaviour theory, analysis of consumption patterns and application of novel time series analysis to consumer purchase data. He is published widely in the fields of: consumer behaviour and analytics; customer loyalty schemes; consumer privacy.
Dr James Goulding
Expert in Machine Learning for social good, James develops new statistical modelling techniques to analyse large-scale human behavioural data. He has extensive experience of coordinating large, international projects with grants of over £15m since 2015 covering: poverty; modern slavery; FGM; perinatal mortality; transport.
Dr Georgiana Nica-Avram
With a background in social marketing and consumer analytics, Georgie now develops methods that combine machine learning with qualitative research to better understand the people behind Big Data, with a particular focus on Food Poverty and Waste.
Dr Gavin Smith
Gavin specializes in temporal data mining and machine learning, focusing on development of novel data driven approaches to predict human behaviour in time series. He also researches how to ensure that techniques are applicable in real world scenarios, producing interpretable results.
Dr John Harvey
Behavioural social scientist and leading expert in use of network analysis to understand vulnerable communities. His research on the use of novel technologies to address food insecurity is widely internationally published, and has received extensive funding from ESRC, EPSRC, and Innovate UK.
Dr Bertrand Perrat
Expert in development of novel data-driven algorithms for geospatial information, Bertrand researches efficient and effective processing of large, geo-spatially enabled data sets in order to better understand, summarise and predict human behaviour - while ensuring appropriate interpretability for real world impact.
Dr Katie Severn
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Research Members
Dr Katie Severn
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Dr Harry Marshall
Harry’s research examines the potential of applied machine learning to social issues, ranging from ecology to vulnerability. He is part of the UKRI CIVIC project, examining the potential of mass behavioural datasets to reveal hidden insights about unrecorded COVID cases, predictors of potential outbreaks and impacts on vulnerable communities.
Dr Gregor Engelmann
Gregor’s research examines how mining CDR data can generate Social Good in areas of mobility mapping and urban planning. A specialist in international development analytics, Gregor is currently working on the AIDA project, examining child development in Malawi.
Dr Rachel Carrington
Rachel has a PhD in statistics, and works on new methods (AJIVE) fusing data streams such as earth observation imagery with survey and CDT data. She is part of the BEADS programme, and EPSRC project examining Gender Inequality in East Africa
Madeleine Ellis
Madeleine’s work combines the fields of mathematics and international development, examining how block-structure models can be extended to produce social good.
Dr Rosa Lavelle-Hill
Rosa’s research integrates psychological theory and machine learning to better understand and predict human behaviour in big data. Rosa is current a Fellow at The Alan Turing Institute, working on quantative analysis of the drivers of modern slavery both at neighbourhood levels (Tanzania) and at national scales (GSI).
rlavelle-hill@turing.ac.uk
rosa.lavelle-hill@nottingham.ac.uk
Vanja Ljevar
Vanja worked as a Senior Analyst before starting her multidisciplinary PhD about behavioural change and perceptions. She explores how people’s beliefs impact their behaviour by combining psychology theories and machine learning techniques.
Elizabeth Dolan
Elizabeth’s research is developing a framework for “Personal Data Donationâ€, specifically asking: how can personal transactional data be collected and analysed for the purposes of health research in a way that is acceptable to society, works for infectious and chronic disease, and can be successfully implemented in a clinical setting?
Roberto Mansilla
Roberto has an MSc in Analytics, and is researching how consumer loyalty card data can shed light on nutrition and health trajectories, while exploring new methods in variable importance (e.g. model class reliance)
Dominic Reedman-Flint
Dominic is exploring new data science methods to detect those at risk of social isolation. His PhD is in partnership with Ordnance Survey, and is investigating the interrelationship between the factors underpinning isolation and loneliness that might be revealed in digital data streams, from transport and mobility to social media usage.
Paul Haggar
Paul is working with N/LAB via the MOCHA project at the University of Cardiff (Lorraine Whitmarsh), examining how pro-environmental lifestyle changes might be achieved through understanding and harnessing ‘moments of change’ in life circumstances, examined through a lens of behavioural datasets, such as loyalty card data.
Associate Academics
Prof Nicola Pitchford
University of Nottingham, School of Psychology
nicola.pitchford@nottingham.ac.uk
Dr Anya Skatova
University of Bristol / Alan Turing Institute
anya.skatova@bristol.ac.uk
Researcher Name
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Researcher Name
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Research Support Team
Alison Brierley
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Janine Sey
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).
Researcher Name
Asst. Professor in Statistics at the School of Mathematics, Katie is also a fellow of the BEADS program, researching gender equality issues in East Africa (with a particular focus on perinatal mortality and functional data analysis).