PhD candidate in Biomedical Sciences with a strong background in sleep and neurocognitive research. Skilled in statistical modeling, data analysis, and experimental design, with experience managing complex projects and collaborating across multidisciplinary teams. Adept at translating scientific findings into actionable insights to support evidence-based decisions and innovation in pharmaceutical and biotech settings.
Coordinated longitudinal PET imaging and actigraphy data collection for a large preclinical Alzheimer’s cohort (PREVENT-AD, Montreal, QC). Managed participant scheduling, data quality, and timelines to ensure reliable, reproducible results.
Designed and implemented R scripts to process, clean, and harmonize neuroimaging, actigraphy, and clinical data. Delivered cross-sectional and longitudinal datasets used by multiple collaborators, improving workflow efficiency and reproducibility.
Presented 13+ oral talks and 13+ posters at international conferences (AAIC, HAI, OHBM), translating complex neuroimaging findings into clear insights for diverse audiences, including researchers and clinicians.
Led Quebec–France research collaborations by presenting cohort data, aligning research objectives, and facilitating reciprocal data sharing agreements, strengthening international partnerships.
Supervised and trained undergraduate neuroscience interns on data analysis, report writing, and oral presentations, providing structured feedback and fostering their research skills.
Center for advanced research in sleep medicine, Research Center of the CIUSSS-NIM, Montreal, Quebec, Canada
Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
Sleep and brain health research, including insomnia and Alzheimer’s disease, neuroimaging and longitudinal data analysis, scientific outreach, and promoting well-being