Tuesday, Jan.21, 2020
Register via Eventbrite to get notification of time and location.
Open to faculty and students from McGill University, Concordia University, University of Montreal and UQAM.
Jeanne Timmins Amphitheatre @ The Neuro, 3801 University St, Montréal, QC, H3A 2B4
Wheelchair accessible & Breastfeeding space available on request.
Thomas Nichols, PhD
Dr. Nichols is the Professor of Neuroimaging Statistics and a Wellcome Trust Senior Research Fellow in Basic Biomedical Science at the Oxford University, Big Data Institute.
Dr Nichols is a statistician with a solitary focus on modelling and inference methods for brain imaging research. He has a unique background, with both industrial (Director, Modelling and Genetics, GlaxoSmithKline) and academic experience, and diverse training including computer science, cognitive neuroscience and statistics.
The focus of Dr. Nichols work is developing modelling and inference methods for brain image data. He has worked with a variety of types of data, including Positron Emission Tomography and Magneto- and Electroencephalography, though most of his methods are motivated by Magnetic Resonance Imaging (MRI) and functional MRI (fMRI) in particular. He has extensive experience in modelling large, complex data, particularly known for his contributions to multiple testing inference for brain imaging. He has developed methods for clinical trials with imaging, as well as methods for integrating genetic and imaging data. His current research involves meta-analysis of neuroimaging studies and informatics tools to make data-sharing easy and pervasive.
This event is part of the jointly organized weekly QLS lecture series aimed at training interdisciplinary researchers capable of harnessing the potential offered by big-data initiatives and neuroinformatics technologies. Partners: the Quantitative Life Sciences (QLS) Phd program, Ludmer Center Neuroinformatics & Mental Health, the Centre for Applied Mathematics in Bioscience and Medicine (CAMBAM), and the McGill initiative in Computational Medicine (MiCM).