Changing Lives: New Technologies for Brain Health

The 2019 Brain Awareness Week public lecture was a tremendous success. Thank you to all of the speakers who provided such an informative and engaging night and thank you to everyone who attended.

Meet the experts:

Dr. Tejas Sankar

Dr. Tejas Sankar obtained his medical degree from McGill University and then completed his residency in Neurosurgery at the University of Alberta. 

During his residency training, Dr. Sankar completed a research fellowship at the Barrow Neurological Institute in Phoenix, Arizona where he developed expertise in the application of advanced imaging techniques to study the growth and progression of brain tumors. On completing his residency, he undertook a clinical fellowship in Stereotactic and Functional Neurosurgery at the University of Toronto, returning to Edmonton in July 2012 to begin his neurosurgical practice.

Dr. Sankar is currently an Associate Professor in the Department of Surgery at the University of Alberta, where his principal clinical interest is the neurosurgical management of patients with Parkinson’s Disease and other movement disorders using Deep Brain Stimulation.

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Dr. Alan Wilman

Dr. Alan Wilman completed his PhD in medical physics at the University of Alberta and went on to complete post-doctoral work at the Mayo Clinic, where he applied his understanding of magnetic resonance (MR) physics to develop new techniques for imaging blood vessels in the brain.

These techniques have been used on more than 20 million patients worldwide. He is now a professor of biomedical engineering at the University of Alberta, where he continues to develop new MR methods for imaging blood vessels, metabolites, and disease in the brain.

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Dr. Russ Greiner

After earning a PhD from Stanford, Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science and the founding Scientific Director of the Alberta Innovates Centre for Machine Learning (now Alberta Machine Intelligence Institute).

He has published over 200 refereed papers and patents, most in the areas of machine learning and knowledge representation. One example of his success is his system for analyzing brain tumors and predicting their growth, which is recognized as being among the world's best.

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Dr. Ming Chan

Dr. Ming Chan completed his medical training at Glasgow University in Scotland, followed by residency at the University of Alberta and then a fellowship at Tufts University in Boston.

He is a professor in physical medicine and rehabilitation at the University of Alberta with adjunct appointments at the Neuroscience and Mental Health Institute and Department of Surgery. In the clinic, he specializes in treating patients with neuromuscular disease such as ALS. In the lab, he studies peripheral nerve regeneration and the control of prosthetic limbs.

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