Muhammad Faisal

Dr. Muhammad Faisal is an Associate Professor at the Centre for Digital Innovations in Health & Social Care, University of Bradford. He holds a PhD in Biostatistics from the University of Vienna and has over 15 years of applied health research experience. His work focuses on developing equitable clinical prediction tools and leveraging big health data for improved healthcare outcomes. Key contributions include leading the CARSS (Computer Aided Risk Scoring System) project, highlighted in the Goldacre review, and co-founding the NHS-R community to advance R-based analytics in healthcare.

Education: MSc in Statistics (Bahauddin Zakaryia University, 2006), PhD in Biostatistics (University of Vienna, 2012). Professional Affiliations: Royal Statistical Society (RSS), International Society for Clinical Biostatistics (ISCB). Awards: Wolfson Centre for Applied Health Research Fellow, Fellow of Advance HE.

Research Interests: Clinical prediction modeling, machine learning applications in healthcare, big data analytics, and translational research for population health. He leads the £5.8M Yorkshire & Humber Patient Safety Research Collaboration and evaluates interventions for cancer screening in South Asian Muslim women (funded £440,699).

Teaching: Courses include Health Data Science, Health Informatics, and Clinical Prediction Modelling. Grants: Reviewed NIHR and UKRI grants, served on UKRI Peer Review College and NIHR HS&DR committees. Notable Publications: Over 100 peer-reviewed articles, with one achieving top 5% Altmetric attention (17 news stories).

Labs/Teams: CARSS Research Group, NHS-R community. Future Work: Expanding equitable prediction tools and digital health innovation.