Centre for Behavioural Science Members

Methods cluster

The methods cluster is a vital component of our Centre, championing the development and application of cutting-edge research methodologies in behavioural science.

This cluster is deeply engaged in advancing mathematical models that intricately capture and predict human behaviour. We employ sophisticated statistical techniques not only for data analysis but also for establishing robust causal inferences.

Additionally, our work encompasses the innovative realms of machine learning and artificial intelligence, harnessing their potential to uncover new insights into complex behavioural patterns. We are also exploring the capabilities of biometric tools in capturing physiological responses linked to behaviour.

Beyond technological advancements, our focus extends to refining experimental and survey methodologies, ensuring our research is both rigorous and relevant. This cluster is the backbone of our research, providing the methodological innovation necessary for ground-breaking discoveries in behavioural science.

Our members

Senior Lecturer, Department of Economics
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Mathematical biology/ecology, individual and group movement, random walk theory, movement and time-series data analysis, mathematical education.
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Computational neuroscience; Brain Connectivity; Deep Learning application in neuroscience; Blind Source Seperation for biomedical data analysis; Brain Computer Interface; Physiological signal Processing
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Numerical methods for the development of recursive regularisation and machine learning algorithms; Numerical methods for handling high-dimensional data sets; Predictive modelling; Numerical linear algebra in data science and machine learning; Natural Language Processing
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Medical Statistics and Genetic epidemiology; Causal inference in public health; Data Science and Machine Learning; Predictive modelling
Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Supply Chain & Logistics - Machine Learning Approach; Market Design and Optimisation; Revenue Management; Reinforcement Learning; Natural Language Processing, Large Language Models; Energy Analytics; Time Series Analysis
Senior Lecturer, School of Mathematics, Statistics and Actuarial Science (SMSAS)
Research interests: Statistical divergence for survival analysis; Survival regression
Senior Research Fellow, Institute for Social and Economic Research (ISER)
Research interests: Distribution of income and wealth; Impact of social and fiscal policies on individual and household welfare; The low-paid labour market; Applying insights from behavioural economics to public policy analysis
Professor, Institute for Social and Economic Research (ISER)
Research Fellow, Institute for Social and Economic Research (ISER)
Senior Research Officer, Institute for Social and Economic Research (ISER)
Senior Research Fellow, Institute for Social and Economic Research (ISER)
Professor, Institute for Social and Economic Research (ISER)
Professor, Institute for Social and Economic Research (ISER)
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Centre for Behavioral Science
Behavioural Science Laboratory