Dr Ferran Espuny-Pujol
-
Lecturer in Computer Science
- Deputy Assessment Lead
Office
Room 122Building location
Polly VacherAreas of interest
I am interested in the following research areas:
- Data Science for Healthcare (Quality Improvement)
- Machine Learning
- Biostatistics
- Operational Research
Example journal articles:
https://pubmed.ncbi.nlm.nih.gov/?term=Espuny%20Pujol%20F[au]
As part of my research, I collaborate with NHS, charities, local authorities, and industry.
I have also research experience in Adult Social Care and in Computer Vision Geometry.
Postgraduate supervision
I supervise PhD students who develop data science and machine learning methodology that can be applied to improve real-life health/healthcare research problems as case studies. New applicants are required to have a solid background in Computer Science and interest in developing methods for health services research or related areas.
Teaching
During year 2025/26
- CS2AI Artificial Intelligence (semester 2, year 2)
- CSMAI Artificial Intelligence and Machine Learning (semester 2, MSc)
Additionally: I moderate two other modules; I supervise undergraduate/master final year projects; I act as academic tutor of undergraduate/master students; and I assist the Department’s Assessment Lead, Professor Richard Mitchell.
Academic qualifications
- PhD, MSc, BSc in Mathematics
- MSc in Statistics and Operations Research
Professional bodies/affiliations
- Honorary Research Fellow, Clinical Operational Research Unit, University College London (UCL)
- Visiting Researcher, Health Economics Group, University of East Anglia (UEA)
- Research Scholar, Our Future Health
- Member of CVD-COVID-UK/COVID-IMPACT Consortium
- Fellow of The Royal Statistical Society
- Member of The OR Society