Oleg Blyuss

Dr. Oleg Blyuss is a Reader in Data Science and Statistics at Queen Mary University of London's Wolfson Institute of Population Health, specifically within the Centre for Cancer Screening, Prevention and Early Diagnosis. His work focuses on developing predictive models for early cancer detection using multi-omic data and longitudinal analysis of biomarkers and imaging. He holds a PhD in Applied Mathematics from Oles Honchar Dnipro National University, Ukraine.

Research Interests:

• Predictive modeling and machine learning
• Longitudinal data analysis
• Medical statistics
• Early cancer detection through biomarkers and MRI
• Fuzzy clustering techniques

Current Projects:

• Analysis of longitudinal serum biomarker and MRI data for personalized screening
• Development of urine-based PancRISK score for pancreatic cancer detection
• Evaluation of AI-driven tools for cancer progression prediction

Grants & Collaborations:

• NIHR School for Primary Care Research
• Global Gynaecological Oncology Surgical Outcomes Collaborative (GO SOAR)
• Clinical trials on urinary biomarker validation (UroPanc)

Labs/Teams: Active contributor to the Centre for Cancer Screening team, focusing on translational data science applications in oncology.