Speaker Name: Dr. AmanPreet Badhwar, Associate Professor, FRQS J2 Scholar
Learning Objectives:
Section I: Introduction to mass spectrometry-based proteomics
Untargeted & Targeted approaches
Section II: Large-scale cerebrovascular proteomics
Approaches for cerebrovascular tissue enrichment (Examples: surgical | perfusion-labeling | filter-based)
Section III: Towards data-driven multiomics biotypes (time-permitting)
Data reduction techniques (Examples: clustering | panels | polygenic risk scores)
About the Speaker: Dr. AmanPreet Badhwar is an Associate Professor at the University of Montreal, Faculty of Medicine, Department of Pharmacology and Physiology and the Institute of Biomedical Engineering, as well as a researcher at the Centre de recherche de l'Institut universitaire de gériatrie de Montréal. She co-leads the (a) Canadian Institutes of Health Research funded Vascular Training Platform, which focuses on vascular cognitive impairment research and innovation and (b) Imaging Platform of the Canadian Consortium on Neurodegeneration in Aging. She is also co-lead of our BBB PIA- Extracellular Vesicle Working group.
Dr. Badhwar’s academic path has been to study neurological disease by combining different data types, starting with small-scale genetics and brain imaging early in her career, and progressively moving to “big-data-analytics” in Alzheimer’s disease. Dr. Badhwar directs the Multiomics Investigation of Neurodegenerative Diseases (MIND) Lab that focuses on integrating observations from in-vivo brain imaging and biofluid-based molecular ‘omics’ in the study of age-related dementias, with the goal of discovering new biomarkers and therapeutic targets, and improving methods to speed the drug discovery process. Dr. Badhwar holds several grants and has been awarded multiple prestigious scholarships/awards over the years, including the FRQS-Chercheur-boursiers-Junior2 and the 2022 Organization for Human Brain Mapping Diversity and Inclusion Champion Award. This award recognized her ongoing role in many initiatives that promote diversity, equity and inclusivity (DEI) within and beyond the organization. In general, Dr. Badhwar actively embeds DEI considerations in her research work (e.g., in study design, training/mentoring, collaborations), which she considers to be a key to achieving reproducible research excellence.