Nicholas Simard holds a Ph.D. and M.A.Sc. in Biomedical Engineering from McMaster University, specializing in big data analytics and advanced MRI techniques. His research focuses on leveraging large-scale neuroimaging datasets to study brain structure and function across the lifespan, with an emphasis on age- and sex-related variability. He has developed novel methods for improving MRI quality and sensitivity, integrating advanced statistics and machine learning to support precision medicine. Nicholas has co-authored peer-reviewed publications on brain injury and aging in athletes and has joined the IAMLAB at TMU under Dr. Khademi, translating neuroimaging insights into clinically impactful tools.
This research combines CT and MRI brain imaging using machine learning to detect stroke risk markers more quickly. By translating fast CT scans into MRI-level insights, clinicians may identify dangerous intraplaque hemorrhages earlier, improving stroke prevention and diagnosis. The multimodal approach could also enhance imaging for neurological diseases such as Alzheimer’s and Parkinson’s.
