Dr. Anthony Traboulsee
Anthony Traboulsee is a Professor of Neurology, and Research Chair of the MS Society of Canada at the University of British Columbia in Vancouver, Canada.
He is a neurologist with a research focus the development of practice guidelines for the use of MRI in the management of MS, establishing advanced MRI imaging tools for monitoring remyelination in MS, and the treatment of NMO. He has been the principal investigator for over 30 clinical trials at UBC. (Link to PubMed)
Dr. Shannon Kolind
Dr. Shannon Kolind earned her PhD in Physics at UBC developing myelin water imaging and its application to the study of multiple sclerosis (MS). She then completed a postdoctoral fellowship at the Oxford Centre for Functional MRI of the Brain (FMRIB) at the University of Oxford as well as the Institute of Psychiatry, King’s College London. While in the UK, she specialised in developing new methods to image myelin using MRI, and making them more practical for use in research. She then returned to UBC, this time in the Division of Neurology, to become an Associate Professor.
Shannon’s lab is focused on developing a toolbox of tissue-specific imaging techniques. Her multi-disciplinary team employs these multi-modal tools to achieving greater sensitivity and specificity in clinical research; particularly for clinical trials of new therapies. (Link to PubMed)
Dr. Roger Tam
Dr. Roger Tam received his PhD in computer science in 2004, and is currently an Associate Professor in the Department of Radiology. He also has membership in the Biomedical Engineering Program in the Faculty of Applied Science and the Bioinformatics Program in the Faculty of Science.
Dr. Tam’s research interests are centered on the application of computer vision and machine learning methods to the quantitative analysis of medical images. The Tam laboratory’s current primary research direction is the use of magnetic resonance images to improve the understanding of neurological disorders such as multiple sclerosis. In general, the projects in the Tam laboratory relate to the following topics in medical imaging: in vivo imaging, imaging biomarkers, machine learning (big data analytics for medical images and personalized medicine), imaging artifacts and their impact on quantitative analysis, computational shape modelling & morphometrics, and medical informatics & distributed medical imaging system. (Link to PubMed)
Dr. David Li
Dr. David Li is a Professor Emeritus of Radiology and Associate, and member in Neurology at the University of British Columbia (UBC). He was formerly Head of Radiology at the UBC Hospital and Interim Head, Department of Radiology, University of British Columbia. After obtaining his medical degree and radiology residency at UBC, which included additional training in nuclear medicine at Harvard Medical School and body computed tomography (CT) at University of California (San Francisco), he did postgraduate studies in MRI at the Royal Postgraduate Medical School (London). His primary research interest is the application of MR techniques in studying patients with multiple sclerosis and the use of MRI endpoints as key outcome measures in clinical trials (Link to PubMed)
Dr. Joshua Lee
Dr. Joshua Lee is a Clinical Assistant Professor of Neurology at the University of British Columbia. He is neurologist and researcher specializing in multiple sclerosis and related disorders. He completed a PhD in Medical Genetics at the University of British Columbia, medical school at the University of Toronto, neurology residency at the University of British Columbia, and fellowship in Multiple Sclerosis and Neuroimmunology at Cedars-Sinai Medical Center.
Dr. Lee’s research program focuses on clinical application of advanced MRI biomarkers in MS and other neuroinflammatory or neurodegenerative disorders. His translational research aims to better understand chronic active (smouldering) inflammation through neuroimaging to improve diagnosis, prognostication, and clinical decision-making to optimize clinical outcomes for people living with these conditions. (Link to PubMed)