Mary L'Abbe, University of British Columbia

Research

Causal Inference Child Health Chronic Disease Prevention Compositional Data Analysis Food Policy Evaluation Health Equity Healthcare Utilization Lifecourse Microsimulation

Latest funding

COMPOSE-Canada (COMPositional Outcomes & Simulation for Equity): Evaluating the Health, Healthcare, and Equity Impacts of Ultra-Processed Foods Through Compositional Causal Inference and Child-First Lifecourse Microsimulation.
CIHR · 2026 · Principal investigator
$10,000
Modelling the Impact of Government-Led Nutrient Profile Models on Preventable Mortality and Morbidity Burden, and Healthcare Use: A POpulation HEalth Model-Nutrition (POHEM-Nutrition) Microsimulation Study
CIHR · 2019 · Co-investigator
$436,052

All 2 grants and awards

COMPOSE-Canada (COMPositional Outcomes & Simulation for Equity): Evaluating the Health, Healthcare, and Equity Impacts of Ultra-Processed Foods Through Compositional Causal Inference and Child-First Lifecourse Microsimulation.

Principal investigatorCIHR2026Team Grant: Health Effects of Ultra-Processed Foods - In HDCYH -LOI

Principal investigators: Jessri, Mahsa; L'Abbe, Mary R; Manuel, Douglas G

Keywords: Causal Inference; Child Health; Chronic Disease Prevention; Compositional Data Analysis; Food Policy Evaluation; Health Equity; Healthcare Utilization; Lifecourse Microsimulation; Nutritional Surveillance; Ultra-Processed Foods

$10,000

Modelling the Impact of Government-Led Nutrient Profile Models on Preventable Mortality and Morbidity Burden, and Healthcare Use: A POpulation HEalth Model-Nutrition (POHEM-Nutrition) Microsimulation Study

Co-investigatorCIHR2019Project Grant

Principal investigators: Jessri, Mahsa; Manuel, Douglas G

Keywords: Burden Of Morbidity And Mortality; Chronic Disease Prevention; Epidemiologic Methods And Modeling; Health Services; Microsimulation Models; Nutrition Policy For Disease Prevention; Population And Public Health; Population Surveillance; Public Health Nutrition And Policy Research; Public Health Policy Evaluation

$436,052

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their CIHR grant from 2026

Subject: Prospective PhD student: Causal Inference Dear Professor L'Abbe, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on causal inference connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "COMPOSE-Canada (COMPositional Outcomes & Simulation for Equity): Evaluating the Health, Healthcare, and Equity Impacts of Ultra-Processed Foods Through Compositional Causal Inference and Child-First Lifecourse Microsimulation." (2026), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]