Module leadership & delivery
↗Big Data and Data Mining
SQL, exploratory analysis, data engineering, clustering, association rules, predictive analytics, data mining and practical model evaluation.
University of Hull · DAIM
Postgraduate modules & subject leadership
Postgraduate teaching
↗Applied Artificial Intelligence
Supervised and unsupervised ML, classification, regression, computer vision, intelligent applications and reinforcement-learning foundations.
MSc AI for Business · curriculum development
↗AI for Marketing and Sales
Predictive marketing analytics, NLP, recommender systems, sentiment analysis, conversational AI, practical workflows and responsible adoption.
Mathematical foundations
↗Probability and Statistics
Probability, distributions, statistical inference, hypothesis testing, experimental reasoning and quantitative evaluation.
Beyond traditional teaching
Open programmes & industry-linked learning
2026 · University of Hull
DAIM Agentic AI Summer Bootcamp
Led a practical programme covering tools, RAG, LangGraph, human approval, local models (Ollama) and cloud options, with an Amazon fulfilment-centre industry visit.
Explore bootcamp portalExecutive learning
AI for Public Sector Strategy & Operations
A three-day leadership programme on opportunity selection, trustworthy AI governance, operational redesign, procurement and measurable safe pilots.
View programmeHow I approach learning
Theory meets practice. Students build and interrogate actual systems rather than relying on demonstrations alone.
Accessibility matters. Support for local open-source models and financially inclusive learning pathways, with appropriate alternatives.
Human judgement stays central. AI is a co-pilot, not an autopilot—learners practise challenging, validating and governing outputs.
Capability grows through mentoring. Seven GTAs mentored in teaching practice, including two who achieved AFHEA recognition.
Collaborate / Learn / Build
Make research useful in the real world.
Open to research collaboration, speaking, executive training, responsible AI advisory and industry-facing projects.