Andy Gray

Personal statement

Andy Gray is a Lecturer in Computing and Co-Program Lead for Computing at Bath Spa University, where he combines teaching with cutting-edge research in artificial intelligence and machine learning.

Andy is part of the EPSRC-funded Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence-Driven Systems. His research focuses on developing AI systems that support teachers by reducing workload, enhancing decision-making, and creating impactful lessons for learners.

Before entering higher education, Andy was a computer science teacher in secondary and sixth form schools across England, where he developed a deep understanding of the challenges faced by educators. He also served as a Short Course Curriculum Manager at Bath Spa University. He ensured high-quality delivery of boot camps and short courses that met Ofsted standards and supported learners' transitions into tech roles.

Andy's notable achievements include his leadership in developing industry-aligned computing programs and his contributions to the field of education technology, aiming to bridge the gap between innovative AI research and practical classroom applications.

In addition to his academic work, Andy provides consultancy services focused on building and implementing AI solutions. He supports businesses in transitioning to AI adoption, helping them integrate intelligent systems that enhance operational efficiency, decision-making, and innovation.

Academic qualifications

• PhD in Artificial Intelligence & Machine Learning (near completion)
• PGCert in HE practice
• MSc in Human-centred Big Data and Artificial Intelligence
• MSc in Advanced Computer Science
• PGCE in Secondary Computing & ICT
• BSc in Computing and Information Systems.

Professional memberships

• BCS (Chartered Institute for IT)
• ACM (Association for Computing Machinery)
• Fellow - Higher Education Academy (FHEA)
• Qualified Teacher Status (QTS).

Other external roles

• BCS Committee Member for the Bristol and Bath Region – University Liaison Officer
• Leaning and Innovation Publication Board Member.

Teaching subjects

• CPU5006-20: Artificial Intelligence (Module Leader)
• CPU6002-20: Innovation lab I (Module Leader)
• CPU6003-20: Innovation lab II (Module Leader)
• CCO4007-20: Web Development.

Areas of Expertise

• Artificial Intelligence
• Machine Learning
• Bayesian Optimisation
• Education (Secondary, Further Education, Higher Education)
• Software Engineering
• Mobile App Development (iOS).

Research Supervision

Andy is interested in supervising students looking for innovative ways to create and use AI or software solutions within many discipline areas with a human-first approach.

Areas of interest for research supervision

• Artificial Intelligence
• Machine Learning
• Education
• Software Engineering
• Policy and Governance
• Human-Computer Interaction (HCI).

Current PhD Projects Supervision

• Human-in-the-Loop Bayesian Comparative Judgment for Real World Large Scale Data (current)
• A Systems Modelling paradigm for achieving Secure By Design (current).