This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a McGill University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $906,525
Integrative Multimodal Brain Clocks: Genomic Architecture and Longitudinal Disease Modeling
CIHR · 2025 · Co-investigator
- $140,993
Determination of food safety, quality and authenticity using X-Ray fluorescence spectroscopy
NSERC · 2023 · Co-investigator
- $70,000
Ingestive Behaviour
NSERC · 2023 · Principal investigator
Integrative Multimodal Brain Clocks: Genomic Architecture and Longitudinal Disease Modeling
Principal investigators: Zhou, Sirui
Keywords: Brain Aging; Cognition; Genomics; Machine-Learning; Metabolomics; Mri; Multiple Sclerosis; Proteomics
Determination of food safety, quality and authenticity using X-Ray fluorescence spectroscopy
Principal investigators: Lu, Xiaonan
Ingestive Behaviour
Principal investigators: Nielsen, Daiva
Keywords: Sensory Perception; Ingestive Behaviour; Neural activity; Eyetracking; Genetics
Investigating the interplay between genetics, social, and environmental factors in nutrition, aging, and health in the CLSA
Principal investigators: Nielsen, Daiva
Keywords: Aging; Cognitive; Food Environment; Genetics; Nutrition; Social Determinants
The roles of genetic variation, adiposity, and diet in sensory perception and food preferences.
Principal investigators: Nielsen, Daiva
The roles of genetic variation, adiposity, and diet in sensory perception and food preferences.
Principal investigators: Nielsen, Daiva
A national investigation of the roles of genetics, social, emotional and environmental factors as determinants of nutrition and cardio-metabolic health among elderly adults in Canada.
Principal investigators: Nielsen, Daiva; Dubé, Laurette
Keywords: Aging; Cardiovascular Disease; Elderly; Emotions; Environment; Genetics; Nutrition; Population Health; Social Determinants Of Health; Type Ii Diabetes
A Machine Learning Framework for Analyzing Eating Habits Using Big Data from Mobile Weight Loss Applications: Tracing the Multiscale Dynamics Of Eating for Personalized Adaptive Nudge Support
Principal investigators: Nielsen, Daiva
Keywords: Machine learning, Dietary intake, Body weight, Predictive modeling, Health behaviour, Nudge, Habit formation, Weight loss
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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