Christina Malamateniou
City St George’s, University of London
Bio: Reader at City St George’s, University of London, Dr Christina Malamateniou has over 20 years’ experience in medical imaging research, focusing on MRI, clinical education and enabling responsible AI integration in radiography.
Susan Shelmerdine
Great Ormond Street Hospital (GOSH)
Bio: Consultant Paediatric Radiologist at Great Ormond Street Hospital, with clinical and academic roles spanning paediatric imaging and translational research in healthcare AI.
Girija Agarwal
NHS
Bio: ST4 interventional radiology registrar in London with an interest in artificial intelligence in radiology. As an NHS Clinical AI Fellow, she works on the research, evaluation, and real-world deployment of AI tools in the NHS.
Email: girija.agarwal@nhs.net
Kath Halliday
Nottingham University Hospitals (NHS)
Bio: Consultant Paediatric Radiologist at Nottingham University Hospitals. Immediate past President of the Royal College of Radiologists; currently GIRFT lead for diagnostic capacity and co-chair of the Quality Standard for Imaging.
Email: kath.halliday1@nhs.net
Jacqueline Matthew
King’s College London (KCL)
Bio: Clinical Research Fellow and sonographer working in ML applications for Fetal screening and diagnosis.
Email: jacqueline.matthew@kcl.ac.uk
Fendi Tsim
Behavioural AI Institute
Bio: Behavioural Scientist whose research focuses on human–AI interaction, decision-making, and cognitive approaches to AI integration, with a PhD from Warwick Business School. Co-Founder of BehSci Meets AI, Honorary Fellow (Research) at the Behavioral AI Institute, and an Ambassador for Thinking About Thinking.
Email: fenditsim@gmail.com
Raquel Iniesta
King’s College London (KCL)
Bio: Reader in machine learning and AI ethics at King’s College London, developing clinically safe algorithms for use in healthcare. Her work examines the practical and ethical tensions involved in adopting AI in medicine.
Email: raquel.iniesta@kcl.ac.uk
Hantao Liu
Cardiff University
Bio: Professor of Human-Centric Artificial Intelligence at Cardiff University. His research sits at the intersection of AI, image and video processing, multimedia computing, and medical imaging, advancing human-centred approaches to intelligent systems and bridging technological innovation with real-world clinical and societal impact.
Email: LiuH35@cardiff.ac.uk
Yueran Ma
Cardiff University
Bio: Yueran Ma is a Research Assistant in medical artificial intelligence at Cardiff University. He works at the intersection of medical image analysis, image quality assessment, and clinically grounded AI, with a focus on bridging technical development and real-world healthcare implementation.
Email: MaY68@cardiff.ac.uk
Speaker bios and headshots are provided for workshop materials and the event website only.