I am  an interdisciplinary researcher specialising in AI-driven health analytics and mixed-reality digital health, with complementary strengths in immersive rehabilitation, educational technologies, and participatory digital humanities.

My core research interests include:

AI-Driven Clinical Analytics & Digital Epidemiology

• AI and machine learning for clinical decision support

• Bone-health analytics (osteoporosis, body composition, fracture risk)

• Large-scale secondary analysis of clinical datasets (DXA + clinical records)

• Predictive modelling, phenotype clustering, and risk stratification

• Public health insights from longitudinal clinical data

Mixed-Reality (AR/VR) Technologies for Health and Ageing

• AR-based rehabilitation for osteoporosis

• Multi-user VR for people living with dementia

• VR-based rehabilitation, engagement, and socialisation

• Human–computer interaction

• Clinical rehabilitation

• Gerontechnology

• Immersive computing

Educational Technology & Game-Based Learning

• Maths anxiety and emotional–cognitive modelling in numeracy

• Game-based learning for primary-aged children

• Adaptive learning systems

• Learning analytics and behavioural modelling

• Serious games for literacy and phonological awareness

Digital Humanities, Cultural and Social Innovation

• Trauma-informed digital storytelling and co-creation with survivors

• Digital representations of cultural memory and institutional histories

• Community-engaged design and ethics

• Methodological innovation in digital humanities

My teaching portfolio spans database development, multimedia development and digital-humanities applications. Across these modules I emphasise practical, real-world learning, student-centred pedagogy and inclusive assessment. My teaching develops strong technical competence, particularly in relational modelling, and multimedia production, while also cultivating creativity, critical thinking and the ability to apply computing within social, cultural and professional contexts. I design learning experiences grounded in authentic tasks, scaffolded support and reflective practice, enabling students to build confidence and capability across diverse areas of computing.

CT511 — Database Development

Core themes:

• Relational database design
• SQL, schemas, modelling
• Normalisation, Denormalisation
• Applied database development in real systems

Overview:
CT511 provides students with a comprehensive foundation in database development, covering relational modelling, schema design, SQL, and optimisation. The module emphasises practical, real-world database construction and maintenance, ensuring students gain the technical competence required to design robust data systems. Assessments are designed to be student-centred and application-focused, supporting mastery through authentic development tasks.

CT5176 — Databases Online

CT411 — Multimedia Development

Core themes:

• Multimedia principles and tools
• Interactive media development
• Audio, video, animation pipelines
• Design and implementation of multimedia applications

Overview
CT411 introduces students to the principles and practice of multimedia development. Using industry-standard tools and workflows, students create interactive media artefacts that integrate audio, video, animation and visual design. The module emphasises practical skill-building, creativity, and iterative development, enabling students to produce polished multimedia applications suitable for portfolio and professional use.

CT327 — Humanities Applications

Core themes:

• Secondary and primary research
• Data analysis
• Formal paper