Modelling Consensus Table Profile
Kamil was appointed as an inaugural director of Health Data Science Branch in the Ministry of Health and Long-Term Care in April 2018. Before that Kamil worked as a Senior Manager, Methods and Modelling Unit in Health Analytics Branch since March 2009. In his current capacity, Kamil leads the predictive analytics, forecasting and artificial intelligence portfolio that supports decision making in the Ministries of Health and Long-Term Care. Prior to joining the Ministry, Kamil led large multicenter randomized clinical trial from McMaster University, worked in pharmaceutical industry, United Nations System. He also worked as a physician in hospitals and primary care in multiple jurisdictions and relief agencies. In addition to being international medial graduate, Kamil completed master’s degrees in health policy, planning and financing from London School Economics and London School of Hygiene and Tropical Medicine, and business administration from McMaster University. Kamil is also chartered public accountant in Ontario. He also holds and appointment as an adjunct faculty with the Institute of Health Policy, Management and Evaluation at the University of Toronto. In his role as a member of Modelling Consensus table Kamil led team efforts to provide administrative data to all members of the modeling table and led work on development of models to forecast LTC outbreaks, cases and death in LTC residents.