Bayesian Demography Lab

The Bayesian Demography Lab brings together researchers from demography, statistics, sociology and public health to work on projects related to statistical demography and the study of demographic inequalities.

Current researchers

  • Michael Chong, PhD candidate in Statistics.
    • Maternal cause of death; mortality estimation using geneaological data; stateless population estimation; estimates of stillbirth by timing
  • Ari Decter-Frain, PhD student at Cornell University
    • Small-area migration and demographic modeling with consumer data
  • Esther Denecke, PhD student at Max Planck Institute for Demographic Research.
    • Small-area mortality modeling
  • Lindsay Katz, MA in Statistics
    • Measuring short-term mobility with Facebook data
  • Michael Moon, PhD candidate in Statistics.
    • Stochastic multistate models for opioid use, dependence, and overdose; multiverse analysis
  • Aida Parnia, PhD student in Sociology.
    • Migrant health in Canada
  • Marija Pejcinovska, PhD candidate in Statistics.
    • Maternal cause of death; improving the estimation of abortion incidence and abortion-related deaths; MRP
  • Emily Somerset, PhD student in Statistics
  • Jessie Yeung, MA in Statistics (now Research Analyst at StatCan).
    • Bayesian age-specific migration schedules


  • Ameer Dharamshi MA in Statistics (now PhD student in biostatistics at University of Washington).
  • Heather McBrien, BSc, Statistics and Public Health (now PhD student in environmental health at Columbia University).

Main collaborators