Dr. Muhammad Faisal
Information about Dr. Muhammad Faisal at the University of Bradford.
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Biography
Dr Muhammad Faisal is Assistant Professor in Biostatistics at Centre for Digital Innovations in Health & Social Care, Faculty of Health Studies, University of Bradford. 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 supervision
Dr. Muhammad Faisal is responsible for the supervision of 1 postgraduate researchers at the University of Bradford.
Research collaborators
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Teaching
Details on teaching interests, highlights and modules are available for Dr. Muhammad Faisal as follows:
Teaching interests
Health Data ScienceHealth Informatics and Data AnalyticsIntroduction to SPSSIntroduction to Clinical Prediction ModellingIntroduction to Stata
Teaching highlights
Current ModulesNUR7069-C Epidemiology, Biostatistics and Communicable Diseases (MSc Public Health students) PHA7073-C Qualitative, Quantitative, and Mixed Research MethodsPrevious Modules and Guest LecturesNUR7069-C Epidemiology, Biostatistics and Communicable Diseases (MSc Public Health students) PHA7073-C Qualitative, Quantitative, and Mixed Research MethodsHWS6001-C Contemporary Issues in Health, Wellbeing and Social Care module.RES7020-C Understanding Research in International Nursing Studies moduleCurrently involved with development of a new MSc Digital Innovation in Health & Care programme within the faculty· Currently involved with developing the module descriptor "Health Informatics and Data Analytics", which I will be module leader for.Stats 101 and Statistic Clinic Initiative I offered statistics training sessions "Stats 101: Stats for All," and took the initiative to establish a 'statistics clinic.' The Statistics Clinic offers complimentary statistical consulting services to all members of the broader research community within the University of Bradford and affiliated institutes. These sessions run monthly during the protected research afternoon. I supervise a number of MSc and PhD students Current PhD students2020: Associate supervisor for Zaid Olayiwola Olanrewaju. PhD entitled "The Role of Technology in Monitoring Covid-19 in Hospital Wards"2023: Associate supervisor for Fatima Sabir from University of Leeds & PSRC. PhD entitled "Deprescribing High-Risk Medicines for Older People Living with Frailty"Previous PhD students2016-2021: Principal supervisor for Hisham Kelendar. PhD entitled "Exploring the case for adopting lean in Kuwait to enhance the flow of patients with diabetes in Primary Healthcare Centres"2015-2020: Principal supervisor for Waleed Al Nadabi. PhD entitled "Towards a multidimensional approach to measure quality and safety of care in maternity units in Oman"2018-2022: Associate supervisor for David Mehdizadeh. PhD entitled "Towards the development of an integrated case-finding tool to facilitate the review of anticholinergic prescribing for frail older people"Previous MSc students2022-2023: Associate Supervisor for Viveck Kingsley from University of Manchester. MSc entitled "External validation of the Computer Aided Risk Scoring system in predicting in-hospital mortality at The Rotherham Foundation Trust"2022-2021: Principal supervisor for Omoniyi Oyalowo. MSc entitled "An Extensive Literature Review on Quality Improvement Strategies and the Impact of Healthcare Leadership on these Strategies in Nigeria Private Hospital"2020-2021: Principal supervisor for Bina Kaur Bhabra. MSc entitled "Qualitative Study to Compare Compliance in the Workplace to the National Care Pathway following an Abnormal Thyroid Function in the GP Setting"
Professional activities
Information about education, employment and areas of particular interest for Dr. Muhammad Faisal is as follows:
Publications
There are 1 publications involving or that are attributed to Dr. Muhammad Faisal.
Uncategorised publications
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