Birmingham, England, United Kingdom
Liz Coulter-Smith is a researcher, educator, and creative practitioner working at the intersection of artificial intelligence and creative practice. Her doctoral research at Plymouth University investigates CLIP-guided image generation and contradiction-driven creative processes, contributing new frameworks for understanding computational creativity as multimodal art practice. She recently served as External Reader for the validation of a BA (Hons) Creative Media Arts: Immersive and Interdisciplinary AI Practices programme at LASALLE College of the Arts, University of the Arts Singapore — bringing expertise in AI curriculum design and postgraduate quality standards to an international context. With extensive experience leading online postgraduate programmes in UX Design, Indie Game Development, and Machine Learning, she specialises in curriculum architecture for creative technology disciplines at master's level. Available for external examining, programme validation, and curriculum consultancy roles.
Leading two online postgraduate programmes in creative technology at master's level, with full responsibility for curriculum architecture, module design, and academic quality standards across the complete student lifecycle. Specialising in the integration of AI tools, critical frameworks, and emerging technologies into postgraduate creative education. Designed and restructured core modules spanning UX research methods, co-creative design and development practice, and professional development, with a focus on building rigorous, future-facing programmes that connect technical practice with human-centred design. Responsibilities include dissertation and final major project supervision, staff recruitment and development, quality assurance, and external partnerships.
Computational Creativity and Co-Creation DoS: Professor Mike Phillips, Professor of Interdisciplinary Arts, Director of Research at i-DAT.org, Principal Supervisor for the Planetary Collegium, University of Plymouth.
External Reader for programme validation of BA (Hons) Creative Media Arts: Immersive and Interdisciplinary AI Practices.
Delivered specialist modules at master's level in Machine Learning (MSc Artificial Intelligence) and Human Factors in Cybersecurity (MSc Cybersecurity), both fully online to postgraduate cohorts, applying human-centred and applied AI frameworks to technical computing disciplines.
Senior Lecturer and module leader across Computing and Business Computing BSc programmes, with responsibility for curriculum development, academic quality standards, and student experience at scale. Actively contributed to course validation committees and interview panels across the university — developing experience in programme quality assurance and academic standards that spans both teaching and institutional governance. Supported faculty STEM initiatives as a STEM Ambassador, developed and published scholarly work integrated into teaching practice, and provided academic supervision and pastoral support across large student cohorts.