Dr. Christopher Gravel

Dr. Christopher Gravel
Dr. Christopher Gravel (he/him)
Assistant Professor

PhD, MSc, BMath, BA

600 Peter Morand (Alta Vista), Room 114C


Dr. Gravel obtained his Ph.D. (2015) and M.Sc. (2009) in Probability and Statistics from the School of Mathematics and Statistics at Carleton University. He then completed a post-doctoral fellowship in biostatistics in 2017 at the Department of Epidemiology, Biostatistics and Occupational Health at McGill University. Prior to joining the School of Epidemiology and Public Health at the University of Ottawa as an assistant professor in 2021, Dr. Gravel was a senior epidemiologist and biostatistician at Health Canada where he focused on the use of real-world evidence to support regulatory decision-making.

Dr. Gravel’s research program focuses on the development and improvement of statistical methods for pharmacoepidemiology and pharmacovigilance. He has interests in methods for causal inference, measurement error models, and the analysis of real-world observational studies with applications using large administrative healthcare databases. Dr. Gravel has explored validation sampling approaches to correct for outcome misclassification in binary and time-to-event data and is currently focused on the development of simultaneous systematic bias correction methods. He is also interested in disproportionality analysis for signal detection in spontaneous reporting data and other drug and vaccine safety surveillance methodologies.

Research interests

  • Biostatistics/Applied Statistics
  • Measurement Error Models
  • Quantitative Bias Analysis
  • Causal Inference
  • Pharmacoepidemiology
  • Pharmacovigilance
  • Disproportionality Analysis