Emma Mackay is a Senior Consultant at IQVIA and an Adjunct Lecturer at the University of Toronto who applies six years of quantitative health research experience to Bayesian methods and causal inference in medical settings. She specializes in Bayesian borrowing and innovative approaches for evaluating efficacy in rare diseases, and has deep HEOR expertise including meta-analysis, survival modelling, synthetic control arms, and population-adjusted indirect comparisons. Her career spans consultancy and research roles at Cytel, Lighthouse Outcomes, and academic research positions, blending practical regulatory-facing analytics with academic rigour. Emma’s work often bridges statistical methodology and real-world decision making, advising industry partners and contributing to peer-reviewed publications and presentations. Based in Canada, she brings a rare combination of econometrics training and advanced statistics applied to health-policy problems. Outside routine consulting, she pursues methodological extensions that make Bayesian evidence synthesis more usable for small-sample and rare-disease contexts.
6 years of coding experience
7 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at University of Toronto
Master's degree, Economics, Master's degree, Economics at Queen's University
BUGSnet: a new comprehensive package for network meta-analysis
Contributions:22 commits in 1 month
metameta-analysisssanetworknetwork-meta-analysis
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Emma Mackay - Senior Consultant at University of Toronto