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Professor in the Department of Computer Science+44 (0) 191 33 44767
Fellow of the Wolfson Research Institute for Health and Wellbeing


Other roles

2022: PGR Director (Durham University)

2019: Chief Technical Officer (CTO), 0.5FTE, More Life (UK) Ltd: More Life is a health and well being company providing services under contract to NHS England and various local authorities. The services include weight management and smoking cessation among others. The company has been operating for 20+ year with 160+ staff.

Short Bio

Dorothy Monekosso (PhD) is Professor of Computer Science and Chief Technical Officer (CTO) at More Life UK Ltd. Dorothy holds a PhD (2000) in Spacecraft Engineering, a Master’s in Satellite Engineering from the Surrey Space Centre (University of Surrey) and Bachelor in Electronic Engineering. She began her career in space sector, developing on-board computers and control systems for spacecraft and satellites. Dorothy became interested in Artificial Intelligence during her PhD applying machine learning methods and techniques to spacecraft autonomy. On the basis of this work, she was awarded a Royal Academy of Engineering, Engineering Foresight Award. Her current research applies the same techniques to develop innovative healthcare technologies. In 2020, she was awarded an honorary fellowship of the British Computer Society for work in assistive and rehabilitation technologies.

Social Media


Digital Health Hub 

Insights - automated analysis using sentiment analysis 

More Life & Durham - Personalising weight management programmes (Innovate UK)

Healthy Lifestyle Programmes | MoreLife UK (

MRC - IAA "Technology Supported Rehabilitation Impact Evaluation Study" Virtual Physiotherapist - physiotherapy at home

MRC impact acceleration accounts (previously confidence in concept) – UKRI

Grow MedTech Virtual Physiotherapist could improve stroke recovery - Grow MedTech

Digital Twins in Health

Smart homes - Supporting independent living

  •  Activty recognition, behaviour modelling, 


If you're interested in undertaking a research project at PhD, Masters, or a 3rd/4th year undergraduate project under my supervision in assistive and rehabilitations technologies, human digital twins, applications of machine learning to healthcare technologies, and digital health please get in touch.

Research interests

  • Behaviour Analytics
  • Digital Twin Computing
  • Anomaly detection
  • Data analytics: applications of machine learning to decision support systems in health
  • Digital health: wearables, assistive and rehabilitation technologies, medical image analysis, clinical decision support
  • Smart Environments & Cities: supporting people to live independently

Esteem Indicators


Chapter in book

Conference Paper

Journal Article

Supervision students