Dr. Lisa Lix is a professor and associate head of community health sciences at the University of Manitoba. She holds a cross-appointment with the Institute of Health Policy, Management & Evaluation at the University of Toronto and currently serves on the board of directors of the Canadian Statistical Sciences Institute.
Dr. Lix is an internationally-recognized expert in the development and application of statistical models to improve chronic disease research and surveillance using population-based electronic health data.
Her research has advanced scientific knowledge about bias in disease diagnoses, methods to improve validity of chronic disease case ascertainment methods, and chronic disease risk prediction.
Her research has contributed to the scientific rigour of the Canadian Chronic Disease Surveillance System (CCDSS) developed by the Public Health Agency of Canada; she currently serves as co-chair of the data quality working group for the CCDSS and was formerly co-chair of the scientific committee.
As director of the data science platform in the George & Fay Yee Centre for Healthcare Innovation, she oversees skilled biostatisticians, bioinformaticians, analysts and database developers who link and analyze clinical, administrative, and biological databases to strategically enhance the provincial and national environments for patient-focused research using electronic health data.
She also leads nationally funded training initiatives on big data analytics and artificial intelligence in public/population health.
Dr. Lix has served the Statistical Society of Canada since 2005 in various capacities and was president of the biostatistics section in 2010. She served as program chair for the Health Policy Statistics Section of the American Statistical Association in 2020.
She has published more than 450 peer-reviewed articles and book chapters.