Prof. Dr. Kamarul Imran Musa
MD, M Comm Med, PhD
Professor in Epidemiology & Statistics | AI & Machine Learning Researcher | Public Health Physician
🎯 Professional Summary
Distinguished epidemiologist and statistical modeling expert with 25+ years of experience bridging clinical medicine, advanced statistics, and artificial intelligence.
Currently serving as Professor (VK7) and Head of Department of Community Medicine at Universiti Sains Malaysia. Recognized globally as Top 2% Scientist by Stanford University (2020-2024).
🏢 Leadership Positions
- Leading Malaysia’s premier epidemiology and statistics department
- Spearheading AI/ML research initiatives in healthcare
- Supervising 15+ doctoral students in AI/epidemiology research
Coordinating research activities across health disciplines and promoting interdisciplinary collaboration in AI and healthcare.
🔬 AI/ML & Technical Expertise
🤖 AI/ML Applications
- Breast Cancer Detection (90% AUC)
- COVID-19 Modeling & Prediction
- Medical Image Analysis
- Risk Prediction Models
- Deep Learning for Healthcare
💻 Programming & Analytics
- R Programming (Expert)
- Python for Data Science
- Machine Learning Algorithms
- Statistical Modeling
- Bayesian Methods
📊 Data Science & Visualization
- Reproducible Research
- Geospatial Analysis
- R Shiny Dashboards
- Time Series Analysis
- Survival Analysis
🏥 Healthcare Domains
- Epidemiological Modeling
- Disease Surveillance
- Cardiovascular Risk Assessment
- Stroke Outcomes Prediction
- Public Health Analytics
📚 Notable Publications & Books
Analytics and AI for Healthcare Series. Comprehensive guide covering statistical modeling, machine learning, and AI applications in healthcare research.
Meta-analysis of 36 studies containing 68 ML models. Overall AUC: 0.90, demonstrating excellence in AI-powered medical diagnostics.
Developed 8 ML models for breast cancer risk estimation using patient registration records.
🌍 International Collaborations
University of Washington
Imperial College London
Infectious Disease Modeling
Mathematical Modeling
Steering Committee Member
Expert Advisory Group
🏆 Recognition & Impact
- 🥇 Top 2% Scientists List – Stanford University (2020-2024)
- 🎓 Fellow of the American College of Epidemiology (FACE)
- 🏅 Universiti Sains Malaysia Excellent Service Award (2010, 2018)
- 📚 Published Author – 2 R Programming Books
- 💰 Research Grants – RM 773,861 as Principal Investigator
🎓 Education Excellence
Supervisors: Dr. Thomas J. Keegan & Distinguished Professor Peter J. Diggle
Thesis: “Modelling of Risk Factors, Fatality and Functional Status Among Stroke Patients in Malaysia”
Specialty: Epidemiology and Biostatistics