معرفی
Skevi Michael is a Lecturer in the School of Mathematics at the University of Bristol, specializing in Statistical Science, Probability, Analysis and Dynamics. Their work focuses on applying advanced statistical methods to HIV research and healthcare data analysis.
Dr. Michael's research interests span across several key areas in medical statistics:
- HIV epidemiology and testing patterns
- Statistical methods for healthcare quality assessment
- Principal Component Analysis applications in medical research
- Cohort study design and analysis
- Visualization techniques for healthcare data
- Antiretroviral therapy outcome measurement
Dr. Michael's publication record demonstrates expertise in developing statistical tools for HIV care evaluation. Their work shows a progression from analyzing HIV testing trends (2019) to developing visualization methods for treatment outcomes (2018) and implementing performance metrics using principal components analysis (2017). The research consistently bridges advanced statistical methodology with practical healthcare applications, particularly in the UK primary care setting.
Dr. Michael has established significant collaborations with leading HIV researchers including M. Gompels, M. May, and C. Sabin through the UK Collaborative HIV Cohort study, demonstrating integration within the national HIV research community.
