Peter Harris

Peter Harris is the Director of Research Science at NielsenIQ, where he leads a global team of Artificial Intelligence researchers. NielsenIQ is a multinational company dedicated to understanding consumer behaviour worldwide. In addition to his role at NielsenIQ, Peter serves as an AI consultant for the NHS, leveraging advanced AI techniques to predict medical conditions from x-rays before they are visible to the human eye. His expertise spans several cutting-edge domains, including Natural Language Processing, Image Classification, Graph Neural Networks, and Generative AI (in collaboration with Microsoft).

Professor Mohamed Imam

Professor Mohamed A. Imam MD, MSc (Hons), D.SportMed, PhD, FRCS (Tr & Orth) is Clinical Lead for Trauma and Consultant Upper Limb & Complex Trauma Surgeon at the Rowley Bristow Orthopaedic Centre, Ashford and St Peter’s Hospitals, and Professor of Digital Health and Medical Director at the Smart Health Centre, University of East London. 

He integrates artificial intelligence and machine learning into orthopaedics—particularly predictive modelling for sports injuries—and has authored over 120 peer-reviewed publications alongside editorial roles with leading journals. 

He has edited two Springer Nature reference books on shoulder and elbow trauma and currently editing a book on Transformative Digital Health. He co founded the OrthoGlobe Collaborative and serves in many national and international roles. 

 His recognition includes multiple awards from AAOS, ISAKOS, AO, EFORT and NHS, and he serves in the GMC in assessment and examination roles.

Cheuk Ting Ho

After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community. Currently, she is working as AI developer advocate for JetBrains. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.

Andrew Coppola

Orthopaedic Registrar

Orthopaedic Research Fellow at SWLEOC specialising in AI and Predictive Modeling in healthcare, I completed my medical degree at Barts and The London School of Medicine and Dentistry and a postgraduate Master's in Surgical Innovation at Imperial College London. After completing my core surgical training in London with a focus on orthopaedics, I have been leading AI-driven projects to enhance patient outcomes post-joint replacement. In my role as Lead Innovation Advisor at Infinite Software, I contributed to the development of a tool for patient assessment using real-time big data analysis. My collaborations with computer scientists and contributions to public discussions on surgical innovation underscore my dedication to integrating data science in clinical practice, driving advancements in medical technology for improved patient care.