The Computational and Quantitative Methods (CQM) is a research cluster of the School of Business and Management, Queen Mary University of London (QMUL).
We aim to bring together academics and practitioners who share common interests in the adoption and application of modern computational and quantitative methods across a variety of topics, such as agent-based models, network analysis, causal inference techniques, and machine learning methods, among others.
Such topics have increasingly been considered of extreme relevance to virtually all fields of knowledge. The CQM aims to bridge a relevant gap by promoting research collaboration and regular discussions on relevant and widely debated methodological topics.
A major distinction of the CQM is its interdisciplinary focus on computational and quantitative methodological challenges. We organise discussions on recent methodological developments in statistics, data science and machine learning as well as their applications to tackle relevant problems in business, finance, and economics.
The Computational and Quantitative Methods (CQM) research cluster was founded by Giorgos Galanis and Michel F. C. Haddad, who also serve as its Co-Directors since 2023.
In addition to affiliated members (external), around 30 QMUL faculty are members of the CQM.
In the case you wish to become a member of the CQM, please contact us through e-mail.
Sanghamitra Bandyopadhyay is Professor of Development Economics and the Deputy Director of the Centre for Globalisation Research. She specialises in the economics of growth and development, measurement of inequality and poverty and applied econometrics. She has held previous academic appointments at the University of Oxford, University of Birmingham and the London School of Economics. She holds a PhD from the London School of Economics. She has been a Visiting Professor/Visiting Fellow at the Toulouse School of Economics and Cornell University (2015), and is currently Visiting Professor at the International Inequalities Institute at the London School of Economics.
She is the Co-Editor-in-Chief of Research on Economic Inequality and Co-Editor for the Review of Development Economics, and is Fellow of the Royal Society of Arts.
Dr Natalia Efremova has a background in both academia and industry research. Over the past 10 years, she has been working in the field of deep learning for image and video processing. Her work has been commended for successfully meeting challenges set for the global research community in these areas, and her research has been published in the top machine learning venues (ICLR, NeurIPS, IEEE, IJCNN, HRI).
Caterina Gennaioli holds a MSc in Economics from Universitat Pompeu Fabra and a PhD in Economics from Bocconi University. During her PhD, she was visiting the University of Chicago. Before joining Queen Mary in September 2016, she worked for five years as a research officer at the London School of Economics (Grantham Research Institute).
Giorgos Gouzoulis is an Associate Professor in Human Resource Management in the Department of People in the School of Business & Management. His research focuses on industrial relations and issues around employee compensation, wage inequality, underemployment, union membership, and strike activity.
Giorgos’ work has been published in leading academic journals like the British Journal of Industrial Relations, the Industrial Relations Journal, Economic and Industrial Democracy, the Socio-Economic Review, the Cambridge Journal of Economics, and Sociology of Health & Illness, among others. Also, he has received research grants from various funders, including the Rockefeller Foundation, the Omidyar Network, the Independent Social Research Foundation, and the Onassis Foundation.
Giorgos is the treasurer of the British Universities Industrial Relations Association, a member of the editorial board of the journal Work, Employment and Society., and the Co-Editor of the Bristol University Press’ research-based magazine Futures of Work. Prior to Queen Mary, he worked at the University of Bristol, UCL, and King’s College London.
Brigitte Granville is Professor of International Economics and Economic Policy in the School of Business and Management at Queen Mary University of London.
Dr Georg von Graevenitz is Reader in Quantitative Methods and Programme Director for MSc Business Analytics.
Dr Zeynep Gürgüç is a lecturer in Digital Economy. Her main research interests are experimental and behavioural economics, applied microeconomics, and game theory.
Before joining QMUL, Zeynep worked as a research fellow at Imperial College, visiting lecturer at UCL and lecturer at Universidad Carlos III after completing her PhD in Economics at Universitat Pompeu Fabra. She also worked as a consultant at the World Bank after receiving an MA in International Relations from Johns Hopkins University.
Dr Roxana Gutierrez-Romero's research analyses how to overcome the most significant barriers to development. She holds a PhD in Economics from the University of Cambridge (King’s College) and joined Queen Mary in September 2015.
Previously, she taught and held research positions at the University of Cambridge, the University of Oxford and the Universidad Autónoma de Barcelona. Her research has been published among others in Journal of Conflict Resolution, World Development, Journal of Development Studies, Development Policy Review, Journal of Economic Geography, Regional Science and Urban Economics, Environment and Planning C: Government and Policy, Public Money and Management.
Dr Toan Huynh is a Lecturer in Applied Macroeconomic Analysis at the School of Business and Management. He holds a MSc in Economics from Toulouse School of Economics and a PhD in Finance from WHU – Otto Beisheim School of Management. Before joining Queen Mary in September 2022, he worked as a lecturer in Risk Management at the University of Southampton.
Dr Georgios Kavetsos is a Reader in Behavioural Economics at Queen Mary University of London, a Research Associate at the Centre for Economic Performance at the London School of Economics, and an Affiliate Scientist at Lee Kum Sheung Center for Health & Happiness at Harvard University. The first theme to his research seeks to understand how interventions shape individuals’ behaviour and preferences. The second studies the impact behaviours and interventions have on individuals’ well-being.
Georgios holds a PhD in Economics and an MSc in Finance from Imperial College Business School, an MSc in Economics from UCL, and a BSc in Economics from City University of London. He previously held research positions at Bayes Business School (formerly Cass) and the London School of Economics, and visiting positions at Harvard.
Dr Maria Koumenta is a Senior Lecturer (Associate Professor) in Work and Labour Market Analysis. Her research activities are in the fields of labour economics and labour market policy. Dr. Koumenta works on labour market issues relating to pay, pay inequality, gender and ethnic pay gaps and non-standard forms of employment in the labour market.
Maria was awarded her PhD from LSE, where she also worked as a researcher at the Centre for Economic Performance.
Dr Povilas Lastauskas holds MPhil and PhD degrees from the University of Cambridge (Trinity College and Faculty of Economics) and a diploma in Advanced Studies Program in International Economic Policy Research from Kiel Institute for the World Economy. Before joining the Queen Mary University of London, he held a permanent directorship position at the Center for Excellence in Finance and Economic Research at the Bank of Lithuania. Povilas initiated economics education reform in Lithuania by creating a novel undergraduate degree (Quantitative Economics) and contributing to the PhD program’s overhaul. In addition, he co-founded Baltic Economic Association, served on the ECB’s monetary policy review working group, and acted as an expert in OECD missions. Before central banking, Povilas was a director of studies in economics and economics lecturer at a few colleges at the University of Cambridge.
Povilas attracted large research grants funded by the governments of Poland and Lithuania, the European Social Fund, and European Economic Area (EEA) States (Iceland and Liechtenstein) and Norway. Povilas’ research explores the impacts of globalization, trade shocks, sanctions and policies on firms, households and aggregate economies. He is particularly interested in quantifying the spillover effects of economic policies. More information is available at www.Lastauskas.com.
Dr Federica Liberini is a Lecturer at the School of Business and Management at Queen Mary University of London, and a Research Associate at CAGE Warwick and QAPEC Warwick.
Previously, she worked as a Senior Postdoctoral Researcher at the Swiss Federal Technological Institute, ETH Zurich, and then as a Lecturer at the Department of Economics of the University of Bath.
Federica completed her PhD in Economics at the University of Warwick.
Dr Eleni Lioliou is a Senior Lecturer (Associate Professor) in International Business and Strategy. Before joining QMUL, she was a faculty member at the University of Loughborough, School of Business and Economics. Her research interests revolve around the management of information systems as well as the governance of outsourcing/offshoring arrangements. She is further interested in the role of information systems in firms’ internationalization efforts.
Dr Eleni Lioliou has obtained her PhD from the London School of Economics and Political Science. Her research has been funded by the Karelia Foundation, Leventis Foundation and the London School of Economics. She holds an MPhil in Management Research (University of Cambridge), an MSc in Analysis, Design and Management of Information Systems (London School of Economics and Political Science), an MLitt in International Business (University of St Andrews), a BSc in International and European Economics (University of Macedonia) and a BA(Hons) in Business Studies with a Marketing major (University of Sheffield).
Professor Sushanta Mallick is a Professor of International Finance at Queen Mary's School of Business and Management. Since January 2015, he has been the Co-Editor-in-Chief of ‘Economic Modelling’ – a leading 38-year-old scholarly journal published by Elsevier. He holds a PhD in Economics from the University of Warwick, UK, which he undertook after being awarded the Commonwealth Scholarship.
A list of Dr Mallick's published research can be found at: http://skmallick.busman.qmul.ac.uk
Dr Charlotte Meng is Lecturer (Assistant Professor) at the School of Business and Management at Queen Mary University of London, and a Research Associate at the Economic Statistics Centre of Excellence. She holds a PhD and an MPhil in Land Economy from the University of Cambridge and a BA in Finance and a BSc in Mathematics from Renmin University of China.
Dr Ravshonbek Otojanov is a Senior Lecturer in Economics at the School of Business and Management. He holds PhD in Economics from the School of Economics and Finance, Queen Mary University of London and MSc in Accounting and Finance with Distinction from London Metropolitan University.
Ravshonbek has held teaching positions at Queen Mary University of London, The New College of Humanities, Richmond, the American International University in London, Hult International University, University of Wales: TSD, and London Metropolitan University.
Dr Panos Panagiotopoulos is a Reader in Information Management and a Fellow of the Alan Turing Institute.
He is the Programme co-Director for BSc Business Management and a member of the Public Management and Regulation Group.
Professor Pietro Panzarasa is Professor of Networks and Innovation. He is also Visiting Professor of Organisation Theory, Science of Science and Social Networks at IMT, School of Advanced Studies Lucca (Italy). Before joining QMUL, he held visiting positions at Columbia University (New York) and Carnegie Mellon University (Pittsburgh), and was a Research Fellow at the University of Southampton (UK). He holds a PhD in Business Administration and Management from Bocconi University (Italy).
Dr Lilit Popoyan is a Lecturer in Business Analytics & Innovation with a strong emphasis on policy-relevant quantitative research analysing a nexus between macroeconomic policy, financial regulations, financial stability, sustainable finance and climate change, production networks, and macroeconomic dynamics. She holds a PhD in Economics from the Sant'Anna School of Advanced Studies in Pisa (Italy) and studied finance at the University of Pisa (Italy) and Yerevan State University (Armenia). Before joining Queen Mary, University of London, Lilit was an assistant professor in Economic Policy at the University of Naples "Parthenope". She is also an associate researcher at the Sant'Anna School of Advanced Studies (Pisa, Italy) and one of the founding members of the ABM4Policy research group.
Professor Martha Prevezer is Professor of Governance and Economic History. She specialises in corporate governance and institutional, technological and regional development. She has been at QMUL in the School of Business and Management since 2005. Prior to that she held positions at City University, South Bank University, London Business School, the Bank of England and the National Economic Development Office. She holds a PhD (1986) in Economic History from the University of London and the European University Institute in Florence, an MSc in Economics (1981) from Birkbeck College, University of London, a BA in History and Economics (1980) from Cambridge University and a BA in English Literature (1991) from Birkbeck College, University of London.
Dr Heesang Ryu is a Lecturer in Business Analytics & Innovation. Before joining Queen Mary, University of London, Heesang was a research fellow in the Department of Management and Technology, Bocconi University in Italy. She holds a PhD degree from ESSEC Business School.
Professor Mark Williams is a Professor in Human Resource Management in the Department of People and Organisations and the Centre for Research in Equality and Diversity in the School of Business and Management.
Mark researches the socio-economic disparities in the quality of jobs in the United Kingdom. Much of his work has focused on pay disparities across occupations and classes. Over the years, his work has branched out into working conditions more broadly (e.g., job insecurity, job control) as well as in workers’ attitudes to their jobs (e.g., job satisfaction, job meaningfulness). More recently, his research has explored the relationship between labour market regulation and the quality of jobs.
Mark joined QMUL in 2019. Prior to QMUL, he held posts at the University of Hong Kong, University of Surrey, and the London School of Economics. He undertook his undergraduate, postgraduate, and doctoral training at the London School of Economics and University of Oxford.
Dr Po Yin holds a PhD in Agricultural and Resource Economics from the University of Maryland. Prior to joining Queen Mary in August 2022, she was an Assistant Professor in the Norwegian School of Economics (NHH) and an Economist in the Research Department of the Hong Kong Monetary Authority.
Dr Stavroula Yfanti is a Senior Lecturer (Associate Professor) in Finance at the School of Business and Management. Before joining Queen Mary in September 2022, Stavroula had a 15-year career in the banking sector and held Lecturer (Assistant Professor) positions at Lancaster University's Management School and Loughborough University's School of Business and Economics. She teaches finance modules at the postgraduate and undergraduate levels.
The Computational and Quantitative Methods (CQM) research cluster fosters an appropriate environment for research collaboration and impact dissemination. We are an open methodological discussion forum, where participants who share common research interests interact, exchange research ideas, and engage in collaborative research projects.
The work of members of the CQM addresses relevant contemporary problems in computational and quantitative methodological topics. The contribution of the CQM to the theoretical and applied aspects involving computational and quantitative methods is evidenced by publications in international journals and conferences.
Furthermore, graduate students – most notably at the PhD level, also benefit from the CQM activities. This should contribute to their research through, for instance, talks and workshops discussing methods that they are applying to their own data.
The Computational and Quantitative Methods (CQM) research cluster organises talks and workshops.
Our events aim to congregate academics and practitioners to discuss the adoption and application of computational and quantitative methods across a variety of topics and research problems using real-world data.
Wednesday 22 November, Climate Challenges, Innovation, and Policy Responses.
The Computational and Quantitative Methods (CQM) is an interdisciplinary research cluster, leading regular discussions on the adoption and application of computational and quantitative methods across a variety of topics, such as agent-based models, network analysis, causal inference techniques, and machine learning methods. Its aim is to foster an appropriate environment for research collaboration and impact dissemination.