• Room 02.035 - Riddel Hall Block 3

    United Kingdom

Accepting PhD Students

PhD projects

- Statistical inference and financial technology - Artificial intelligence and machine learning in finance - Financial regulation - professional football finance


Research activity per year

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Personal profile


I am a fastidiously applied statistician in finance. I teach students using experiential learning to encourage experimentation and produce credible analytics. My goal is to develop students' employability, resilience, confident humility and empirical curiosity. I run postgraduate degrees in quantitative finance, financial technology and data science and teaches graduate-level statistics for time series, financial machine learning and algorithmic trading and investment. I designed and direct a high-performance cloud computing analytics platform for teaching and research in the areas of business analytics, econometrics, AI and machine learning in the Management School. I research to feed my curiosity and build confident humility, advocating the responsible use of cutting edge statistics. My current research projects focus on statistical learning in finance, responsible AI, risk and financial regulation in banking, and association football. I regularly consult and collaborate on FinTech and data science research projects.





             Mean Average SET          

Financial Institutions and Markets


UG 1st year


Financial Econometrics and Data Science


UG final year


Trading Principles




Capital Markets and Financial Technologies


Exec Ed for Axiom Law


Statistical Forecasting for NI Gas Demand


Exec Ed for Phoenix Gas Ltd


Algorithmic Trading and Investment




Times Series Financial Econometrics




Financial machine learningSept 2023Online first PG CertNA

Research Interests


Open science analytics
Financial technology and data science
Financial machine learning and statistical inference
Bayesian inference in finance
Responsible AI in banking
Risk analytics and financial regulation
 Football economics

Research Statement

Ongoing research projects

Credit Easing Programs and ETF activityExchange-traded funds, financial machine learning, quantitative easing, markovian switching vector autoregressive models, Bayesian inferenceLisa Sheenan(Queen’s University Belfast), Lisha Li(Southwestern University of Economics and Finance)2 4* ABS papers
Market Expectations and Mangerial Turnover: Evidence from a Frequent Feedback MarketAI, causal inference and machine learning, sports economics, labour economicsRonan Gallagher (Edinburgh Business School)1 x 3* ABS papers
Implications of Basel III for Chinese bankingbanking, financial regulationLisa Sheenan, Veronica Zhang (PhD Candidate, Queen’s University Belfast)3 x 3-4* ABS papers
Financial machine learning and UK asset pricingExplainable AI(XAI), econometrics and machine learningGareth Campbell, Ronan Gallagher, Colm Kelly (PhD Candidate, Queen’s University Belfast)3 x 3-4* ABS papers
Bayesian inference in systemic risk and regulatory complianceBayesian tail risk probability modelling, capital regulation, European banking.Barbara Casu (Bayes Business School (formerly Cass)), Rym Ayadi Bayes Business School (formerly Cass), Sami Ben Naceur (IMF), and Ronan Gallagher1 x 4* ABS paper (Journal of Business and Economics statistics) 1 x IMF publication





             Funding Body          

             Funding Amount          

             Date Funding Received          


E.S.G fair value analytics platform: using state-of-the-art financial data science and business analytics to an fair-value ESG prediction engine

Financial machine learning, bayesian inference, Natural language processing, econometrics, computational statistics

Research Associates, Innovate UK


Deadline for decision 01/06/2022

3 year project

Anomaly detection of large heterogeneous trading transaction and commmunication data

Unsupervised and supervised machine learning, Natural language processing, Financial econometrics, financial data science, econometric,AI, machine learning

Global Capital Markets Firm



3 years project

Financial Tail Risk Analytics, AI and financial machine learning

Financial econometrics, financial data science, econometric,AI, machine learning,Value at Risk, capital market regulation

FundAxis Ltd, Innovate UK



3 years

AI and Advanced Retail Analytics

AI and machinel learning, retail economics

Pearlai Ltd, Innovate UK



3 years

How AI innovation affect a highly valued financial service provision experience

financial technology, AI and machine learning, financial services

NI Department of the Economy Co-operative Award in Science and Technology PhD studentship



3 years

Demand Forecasting of Natural Gas

Statistical forecasting, Energy Economics

Phoenix Natural Gas Ltd



18 months

Landscape Review of Northern Irish credit unions

Cooperative banking, development economics, Survey statistical analytics

Department of the Economy & Depart of Argiculture, Enviromental and Rural Affairs



2 years

Predictive Retail Analytics Overview

AI and machine learning, retail economics, statistics

Pearlai Ltd, Invest NI



3 months

AI and Web Analytics for Price Comparison

Web scrapping, computer vision,AI, machine learning, natural language processing

Invest NI



3 months

Value at Risk modelling using financial machine learning

Financial econometrics and machine learning, financial data science,value at risk, capital market regulation

FundAxis Ltd, Invest NI



3 months

Stakeholder attitudes to fiscal policy change

Regional economics, non-probabilistic survey statistics, policy evaluation analytics

Institute of Directors, KPMG,Centre for Irish Business Economics and Policy



12 months

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 13 - Climate Action


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