As the program manager, I am dedicated to facilitating the McIntosh lab research program through a crystallized approach to science that combines a solid understanding of neuroscience concepts and theories as well as an aptitude to formulate project management to research endeavours. Additionally, I coordinate the international and multidisciplinary team of The Virtual Brain (TVB) to ensure the portfolio of TVB projects are complimentary, realistic and aligned with our goal to deliver the world’s leading advisor for clinical decision making for optimal brain health.
I am primarily interested in neural network dynamics of how humans integrate information from our environments with our memories to produce higher order perceptions and our subjective, conscious appreciation of our environments. To this end, I have used EEG and MEG and taken a whole-brain network connectivity approach to studying the neural systems associated with musical training, perception, and preferences, as well as second language fluency and acquisition.
I am researching what neural networks are involved in music perception and creation, and how these networks change over the adult lifespan and with the onset of Alzheimer's disease. I graduated from Wilfrid Laurier University in 2008 with an honour's bachelor of music therapy and worked in adult and forensic mental health and geriatrics at home in Halifax. I was fascinated by music's unique accessibility to those with neurodegeneration, and left the profession in 2012 to study the neural correlates of dyadic improvisation, graduating with a master's in music, mind and technology from the University of Jyväskylä in 2014. I'm interested in music as a communicative medium, neural correlates of individual and group improvisation, music-making with clinical populations, and how neuroimaging can contribute to the practice of music therapy. I play flute in orchestras and small ensembles whenever I can, and am a keen amateur bagpiper.
Post-doctoral fellow in the McIntosh Lab at the Rotman Research Institute. He has degrees in psychology and cognitive neuroscience from Universities of Cambridge, Warwick, and York, UK, and is an honorary associate of the University of Sydney Center for Complex Systems. My work focuses on studying brain changes in ageing and neurological disease using a combination of neuroimaging, computational modelling, and theoretical neurobiology
I received my bachelor’s degree in Neuroscience and Cognitive Science from the University of Toronto. While pursuing my degree, I was fortunate enough to take part in a rather eclectic set of research projects, ranging from cardiovascular psychophysiology to investigating whether mystical experiences lead to a more meaningful life.
The focus of my work is to understand brain network dynamics in health and disease using a combination of neuroimaging and computational approaches. I am currently working on building The Virtual Macaque Brain for TheVirtualBrain project.
My role in the lab is to carry out the technical requirements from a computer programming stance as well as consult on best practises for non-linear dynamic modelling. My research interests include brain imaging processing, brain network modeling and machine learning. Technician. Ph.D in Engineering.
My research focus is the investigation of the relationship between structure and function in the healthy, aging, and Alzheimer's brain using a combination of diffusion, fMRI, large-scale modeling using the Virtual Brain, and behaviour.
I completed my graduate work at the University of Calgary, investigating the role of the retrosplenial cortex and posterior cingulate in spatial orientation and navigation. Specifically, I have identified a potential ventral-dorsal functional specialization within the posterior cingulate for the encoding and recall of spatial information, respectively. I also manage gettinglost.ca, a forum and online platform with a variety of interactive spatial orientation tasks. At the McIntosh lab, I will be leveraging The Virtual Brain and large neuroimaging datasets to evaluate low dimensional manifold models of brain activity. In the future, I am hoping to apply these methods to my projects investigating the neural correlates of Developmental Topographical Disorientation (a developmental disorder characterized by the lack of spatial orientation skills with no gross brain damage or other cognitive or neurological deficit) as well as understanding the effects of long-duration spaceflight on the brain and spatial orientation behaviours (more information about this project here: Canadian Space Agency: Wayfinding).
I have a PhD in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, USA. I secured Fulbright scholarship for my PhD and Schlumberger Faculty for the Future Fellowship for my Postdoctoral studies. I integrate my engineering background with neuroscience by applying algorithms, concepts, and methods from image processing, signal processing, machine learning, pattern recognition, information theory, and network modeling in my research. My aim is to understand the underlying association between brain and behaviour and to model it in The Virtual Brain platform.