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Dr. Muhammad Faisal

Associate Professor

Area
Faculty of Health Studies
Language
Urdu
English
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Dr. Muhammad Faisal

Biography

Dr Muhammad Faisal is Associate Professor at Centre for Digital Innovations in Health & Social Care, Faculty of Health Studies. He has been actively involved in applied health research for over 15 years, dedicated to utilising data to address health challenges. 

Before joining the University of Bradford in January 2015, he served as Assistant Professor of Bioinformatics at Quaid-i-Azam University, Islamabad (Pakistan). He completed his MSc in Statistics in 2006 from Bahauddin Zakaryia University, Multan (Pakistan), followed by a PhD in Biostatistics from University of Vienna, Austria in 2012. Muhammad's PhD focused on addressing statistical challenges in big health data. With a track record of leading data scientist roles within multidisciplinary research teams and publishing over 100 peer-reviewed papers, he is passionate about translating research into practical solutions, particularly in applying clinical prediction tools collaboratively to bring about positive changes in population health. 

He has been involved in establishing an NHS-R community to exploit the power of R for the NHS, which is funded by the Health Foundation https://nhsrcommunity.com/. This project has now been highlighted in the Goldacre review as an exemplar of how to address the analytics challenges of the NHS. He has been leading the development of computer aided-risk scoring system (CARSS) for early detection of deteriorating patients in NHS hospitals https://carssresearch.org/resources/#infographics. He was a co-investigator and lead statistician to explore the impact of the rapid adoption of health technologies on nurses and nursing care during the COVID-19 pandemic which has now been replicated in New Zealand and Australia.

Muhammad's current research focused on developing equitable prediction tools to enhance the quality and safety of healthcare. He is currently a lead data scientist for Yorkshire & Humber Patient Safety Research Collaboration (awarded £5.8 Million) and leading a workstream to evaluate the intervention of increasing uptake of cancer screening in South Asian Muslim women in Bradford (awarded £440,699). 

Muhammad is a Wolfson Centre for Applied Health Research Fellow. He is also a Fellow of Advance HE. He is a member of Royal Statistical Society (RSS) and International Society For Clinical Biostatistics (ISCB). He reviewed several NIHR and UKRI grants. He served as a member of UKRI Peer Review College and associate member of NIHR HS&DR. 

Muhammad's leading research work on CARSS has been covered on radio and one of the papers was in the top 5% of all research outputs scored by Altimetric in terms of attention, resulting in 17 news stories https://dimensions.altmetric.com/details/58704593/news

Research

Muhammad's research interest is focused on development and validation of clinical prediction models to support the clinical decision-making process with real-time estimates of the patient’s risk of adverse outcomes using routinely collected ‘Big’ Healthcare data sets and modern machine learning methods such as deep learning. His current research is focused on developing equitable prediction tools to enhance the quality and safety of healthcare. With a track record of serving as the lead data scientist within several multidisciplinary research teams and having authored over 100 peer-reviewed publications, he is passionate about translating research into practical solutions. His enthusiasm lies in applying these equitable prediction tools collaboratively to bring about positive changes in population health. 


Research projects

Date
Role
Co-Investigator

An interdisciplinary collaboration between the UoB and West Yorkshire Integrated Care System (ICS), funded by Health Education England, analysing health care datasets to support evidence-based workforce planning

Research collaborator

Teaching

Health Data Science
Health Informatics and Data Analytics
Introduction to SPSS
Introduction to Clinical Prediction Modelling
Introduction to Stata




Professional activities

  • Scholarship for PhD Studies (1 March 2007)
  • Scholarship for BSc (1 September 2004)

  • Biomedical, Natural, Physical and Health Sciences (BNPHS) Research Ethics Panel,
  • UKRI Talent Peer Review College,
  • NIHR Health Services & Delivery Research Funding Committee,
  • Researcher Development Working Group,
  • Self-assessment team (SAT) for FoHS Bronze Athena Swan application,
  • Research Data & Computing Committee (RDCC),

  • Bahauddin Zakaryia University - MSc
  • University of Vienna, Austria - PhD

  • University of Bradford - Associate Professor (12 January 2015)
  • Quaid-i-Azam University - Assistant Professor (21 June 2012)

  • Computers in Biology and Medicine - REVIEWER
  • European Journal of Internal Medicine - REVIEWER
  • BMC Health Services Research - REVIEWER
  • Cancer Medicine - REVIEWER
  • BMC Medical Informatics and Decision Making - REVIEWER
  • Clinical Medicine - REVIEWER

  • Data Saves Lives movement: to raise awareness about the importance of health data and improve public trust in its use while maintaining privacy standards.

  • I delivered a one-day workshop on developing and validating clinical prediction scores using R for the NHS-R Conference. This conference hosted over 1000 delegates from 39 countries across 5 continents on November 4th, 2022.

Publications

  • Ethnic differences in sedentary be- haviour in 6-8 year old children during school term and school holiday- a mixed methods study

    Nagy L.C., Horne M., Mohammed M.A, Faisal M., Barber S.E. (2017) HEPA Europe. 1

  • Reduction in Sample Selection Bias Under Multicolinearity.

    Akbar A., Pasha G. R., Faisal M., and Aslam M. (2007) ISlamic Countries Society of Statistical Sciences. 14

  • Planning the Radiology Workforce for Cancer Diagnostics

    Prowse, J., Sutton, C., Faisal, M., McVey, L., Montague, L. and Randell, R. (2022)

  • A scoping review: Strategic workforce planning in health and social care

    Julie Prowse; Claire Sutton; Emma Eyers; Jane Montague; Muhammad Faisal; Daniel Neagu; Mai Elshehaly; Rebecca Randell (2022)