The University of Southampton
Southampton Business School
(023) 8059 8964

Dr Mee Chi So PhD

Associate Professor of Marketing and Analytics

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Dr Mee Chi So is an Associate Professor within Southampton Business School at the University of Southampton.

I obtained my first degree and a master’s degree major in Operational Research from the University of Hong Kong. In 2009, I completed my Ph.D. at the University of Southampton. In my Ph.D., I collaborated with two large banks in UK and Hong Kong to look at how to derive optimal credit limit strategies for credit card lenders.

In 2011, I took up the position as a Research Facilitator at the University of Southampton. Since 2013, I have taken up the Lecturer position. Apart from my academic education and experience, I was a CRM analyst in B&Q and a market research analyst in the international company IDC.


Throughout my career, I have developed expertise in predictive analytics, consumer credit risks and marketing analytics. I am particularly interested in using large-scale real-application datasets to deliver actionable insights for organisations. I have participated in a number of consultancy or MSc projects to collaborate with a wide range of organisations such as the UK Financial Conduct Authority, Global Radio, Lloyds Banking Group, United Health, etc.

In 2014, I was awarded a Knowledge Transfer Partnership (KTP) grant (£142,000) funded by Innovate UK for a two-year project to work with the company AppLearn to deliver an analytical software product measuring employees’ adoption and engagement. In 2015, I was awarded a research grant by EPSRC (£375,755, FEC) for a 30-month project 'Dynamic pricing in the ferry industry'. This project aims to develop a set of models to estimate the ticket prices which maximise revenue for ferry operators. Through working with P&O Ferries and Red Funnel, this project will use real data to inform the models.


I have taught both undergraduate and postgraduate level courses. Since 2013, I have become a visiting lecturer at Department of Mathematics of Cardiff University teaching a postgraduate module Credit Risk Scoring.

I am one of the investigators of a bid awarded by Her Majesty’s Revenue and Custom (HMRC) to deliver Master’s level quantitative skills courses to the employees of HMRC.






Research interests

Some of my current research interests are:

  1. using actual data (big data) to draw actionable insights for retailers to improve product pricing
  2. the use of social network data to improve the performance of customer-level predictive analytics models
  3. stress testing consumer credit portfolios
  4. modelling the behaviour (e.g. churns, defaults, etc.) of transactors and revolvers of credit card holders
  5. modelling the debt collection process with Markov decision models
  6. the use of discrete choice model in the consumer credit risk area

I am welcoming PhD applications to study the above topics or other topics in the predictive analytics, marketing analytics and consumer credit risk areas. If you would like to pursue a PhD degree and are interested in applying mathematical and statistical techniques in application-oriented topics, please feel free to contact me.

Moreover, I work together regularly with my colleagues (in the consumer credit risk area: Lyn Thomas, Bart Baesens, Christophe Mues, and Kasia Bijak; in the marketing analytics area: Teck Eng). We welcome any students who are interested in studying a PhD degree with our joint supervision. Please email me for further details.



Working Papers

Teaching responsibilities in 2015/16:

  • MANG3056 Data Mining for CRM (undergraduate final year)
  • MANG6230 Data Driven Marketing (postgraduate)
  • MANG6330 Text Mining and Social Network Analytics (postgraduate)

Teaching responsibilities in previous years:

  • MANG2043 Analytics for Marketing (undergraduate, second year)
  • MANG2048 Analytics for Marketing (undergraduate, Singapore Institute of Management)
  • MANG6259 Data Based Marketing (postgraduate)
  • MANG6261 Collection Methods (postgraduate)
Dr Mee Chi So
Southampton Business School, University of Southampton, Highfield, Southampton SO17 1BJ, UK

Room Number:2/4016

Telephone:(023) 8059 8964

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