People

SHAIPE is a collaborative group spanning engineering, psychology, and clinical practice.

Leads

Portrait of Professor Alison Noble — Professor Alison Noble

Institute of Biomedical Engineering, University of Oxford.

Portrait of Professor Nick Yeung — Professor Nick Yeung

Department of Experimental Psychology, University of Oxford.

Portrait of Professor Helen Higham — Professor Helen Higham

OxSTaR Centre, University of Oxford — Clinical Lead.

Members

Labs

Roles

Portrait of Joshua Strong — Joshua Strong

DPhil Student — Engineering

Interests: Human–AI Collaboration, healthcare, LLMs

Working on: Deferral applications in healthcare

Email: joshua.strong@eng.ox.ac.uk

Portrait of Cheng Ouyang — Cheng Ouyang

Faculty Member — Engineering

Working on: multi-modal analysis for human–AI collaborative image analysis.

Personal webpage: cheng-01037.github.io. MICCAI workshops on Human–AI Collaboration and Uncertainty for Machine Learning in Medical Imaging.

Portrait of Harry Rogers — Harry Rogers

Postdoc — Engineering

Interests: Human–AI Collaboration, VLMs

Working on: AI as An Instructor

Portrait of Dr Nicholas Phillips — Dr Nicholas Phillips

Academic Specialised Foundation Doctor — Clinical

Interests: AI in healthcare and education

Working on: Predictive Melanoma Models, AI in Dermatology

Email: nicholas.phillips@msd.ox.ac.uk

Open to collaboration: LinkedIn

Portrait of Dr Rubeta Matin — Dr Rubeta Matin

Consultant Dermatologist (OUHFT) & Honorary Senior Clinical Lecturer (RDM) — Clinical

International academic clinical expert in diagnosis and management of skin cancer and skin disease in immunosuppressed patients, with a strong background in AI for dermatology. Committed to safe, equitable, and ethically responsible AI.

Portrait of Ben Attwood — Ben Attwood

Chief Digital & Information Officer (OUHFT) & Consultant in Anaesthesia & Intensive Care — Clinical

Ben is Chief Digital and Information Officer for OUH NHS Foundation Trust and a Consultant in Anaesthesia and Intensive Care. He is passionate about ensuring information and data is presented to the right people in the right place to deliver higher quality care.