Dr Erica Moodie is a Professor of Biostatistics at McGill University and a Canada Research Chair (Tier 1) in Statistical Methods for Precision Medicine. She also holds a chercheur de merite career award from the Fonds de recherche du Quebec-Sante. She is the 2020 recipient of the CRM-SSC Prize in Statistics and an Elected Member of the International Statistical Institute. Her main research interests are in causal inference and longitudinal data with a focus on precision medicine.

Dr Michael Wallace is an Associate Professor at the University of Waterloo. Their research focuses on precision medicine and dynamic treatment regimes, developing new methodology to identify treatment decision rules based on patient-level data. More broadly, they study the effects of assumption violations in causal inference problems, with a particular focus on measurement error.


The speakers in this session represent a diverse group of outstanding researchers, covering both methodological and applied interests.

The meeting will open with Dr Rubab Arim and Dr Evelyne Bougie from Statistics Canada’s Social Analysis and Modeling Division, who will discuss the Disaggregated Data Action Plan and ongoing international discussions about best practices for standards (covering topics such as, for example, what groups may be meaningfully combined).

Dr AJ Lowik is the Gender Equity Advisor with the Centre for Gender and Sexual Health Equity. Dr Lowik is a trans health researcher; they developed the Sex and Gender in Methods & Measurement Toolkit.

Dr Irene Chen is an incoming Assistant Professor at UC Berkeley and UCSF with joint appointments in Computational Precision Health and Electrical Engineering and Computer Science. Her research interests include ethical machine learning in healthcare.

Dr Emma Pierson is an Assistant Professor of Computer Science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, whose research interests lie in using machine learning methods to study inequality and healthcare.