The Decision Modeling lab aims to enable the efficient and effective use of finite healthcare resources by developing data-driven analyses that inform health policy and clinical decisions. Our interdisciplinary research uses methods from decision analysis, simulation, health economics, operations research, epidemiology, and data science. We are part of the McGill Clinical and Health Informatics Research Group and the McGill School of Population and Global Health in Montreal, Quebec, Canada.
We’re recruiting!
Postdoc in Public Health Surveillance Modeling. Inform the use of blood donor data for population health surveillance. Targeting candidates with a background in epidemiology or biostatistics. Also open to students with experience in Bayesian multilevel modeling!
Current/prospective McGill MSc and PhD students, please email your CV if interested in the lab.
Alton joined the McGill School of Population and Global Health as an Assistant Professor in 2022. As a researcher, Alton has developed decision analytic models and data-driven analyses for multiple areas of health policy and clinical practice, including blood donation and transfusion, managing pediatric kidney disease, opioid use disorder and overdose, and gastroenterology.
You can view his CV here.
Postdoc, Mass General Hospital Institute for Technology Assessment, 2021
Harvard Medical School
PhD, Management Science and Engineering, 2021
Stanford University
MSc, Management Science and Engineering, 2018
Stanford University
BSc, Industrial Engineering (Health Systems Engineering concentration), 2014
North Carolina State University
BSc, Interdisciplinary Studies (Global Health and Sustainability concentration), 2014
North Carolina State University