Reza Arabi
Statistician
Dr. Reza Arabi is a biostatistician with expertise in statistical modelling, machine learning, causal inference, and the analysis of large health and administrative datasets. He collaborates with multidisciplinary clinical and health system teams to design studies, manage complex data, and develop reproducible analytical pipelines that support evidence-based decision making. His work focuses on electronic medical records (EMR), human health resources (HHR) data, longitudinal and observational studies, and predictive modelling. At the Centre for Integrated Care, he supports data validation, organization, and analysis across multiple research initiatives, ensuring high-quality data and rigorous statistical methods. His research interests include health data science, artificial intelligence in healthcare, predictive analytics, and real-world evidence to improve patient care and health system performance.
Integrated Care Related/ Research Interests:
Advanced biostatistical modeling
Theory and applications of machine learning in healthcare
Big data analytics, causal inference, survival and longitudinal data analysis
Real-world evidence using administrative health data
The application of big data to improve research and decision-making in long-term care.
Current and Ongoing Projects:
OnSPARK LTC Data Platform