Autism is a multifactorial developmental condition with vastly heterogeneous genetic variants and physiological presentation that results in the same diagnostic behavior. Using computational network analysis of protein interactions at the cellular level, neuroimaging coupled with spatial transcriptomics, and tissue-enrichment of peripheral expression, Dr. Canada will demonstrate how computational tools coupled with biological expertise can filter huge, complex systems into precise mechanistic and therapeutic targets. 

 
 As a parent of a teen with autism, Dr. Canada has spent the last 14 years understanding autism from a behavioral, familial perspective. As a researcher, she combines that personal relationship with multidisciplinary science to investigate neurodevelopment from the granular to holistic level. Dr. Canada leads a team that combines human stem cell culture and genetic expression with machine learning investigation of neuroimaging and behavior, while incorporating community engagement research to identify better diagnostics and therapeutics that improve daily life for autistic individuals and their families.