About
My research is broadly concerned with the applications of probabilistic modelling and machine learning in business, with special focuses on marketing and finance. For the former, I am particularly interested in digital advertising revenue management, AI-powered product visual design, and data-driven netnography analysis. For the latter, my current research interests include digital financial product pricing, machine learning based computational investing, and supply-chain finance analytics.
Information for Students
I welcome inquiries from
prospective students interested in pursuing
research related to my areas of interest, as
highlighted above. I expect that potential
candidates will have a strong passion for and
skills in quantitative research, and be highly
self-motivated. If you are considering studying
for a PhD under my supervision, please get in
touch and include your recent CV and
transcripts. Also, please review the details
(e.g., study options, entry requirements, fees)
of the PhD
Programmes offered by the Adam Smith
Business School, as well as the
Student Funding Opportunities.
If you are embarking on a PhD
journey or have recently begun, the PhD Comics
and the PhD
Survival Guide by Ronald T. Azuma could
be useful in providing you with an introductory
insight into PhD studies. Consider reading them
prior to commencing your PhD journey. Also, I
strongly recommend delving into your reasons for
undertaking a PhD. Understanding your
motivations can profoundly influence your
journey and outcomes.
For students I supervise at the
Adam Smith Business School, particularly those
undertaking BSc, MSc, MBA, or MRes dissertation
projects, this
General Advice
to Dissertation Projects may be
beneficial.
Publications
Books
Business Analytics with Python:
Essential Skills for Business Students
Kogan Page
1st Edition, March, 2025
Papers
A lattice framework for pricingPhD
Comics display advertisement options with the
stochastic volatility underlying model
Electronic Commerce Research and
Applications, 14(6), pp.
465-479, 2015
Datasets
Teaching
I teach courses related to data analytics and machine learning to MSc/MRes/MBA/PhD students. Previously, I taught at the computer science school, and now I am based in the business school. My teaching (and research) extensively draw upon the DSML Reading Lists, which might be useful for students seeking guidance in directed studies.Current Teaching
MGT5372 Data Science for
Marketing Analytics (MSc)
Adam Smith Business School,
University of Glasgow, UK
MGT5470 Business Intelligence
(MSc)
Adam Smith Business School,
University of Glasgow, UK