Schedule

11:30 - 11:45 Greeting
11:45 -12:15 Simon Eickhoff
Dr. Simon Eickhoff is the director of the Institute Brain and Behaviour (INM-7) and the professor of Institute for Systems Neuroscience Heinrich-Heine University Düsseldorf. The overarching goal of his work is to understand the organizational principles of the human brain by an integrated analysis of structure, function and different aspects of connectivity. Methods used to this end include fMRI, coordinate-based meta-analyses, cytoarchitectonic mapping, voxel-based morphometry, meta-analytic connectivity mapping, resting-state connectivity analysis, diffusion weighted tractography and dynamic causal modelling.
12:15 -13:00 Speaker 2 (Chris)
13:00 -13:45 Gaël Varoquaux
Dr. Gaël Varoquaux is the Research director (DR, HDR), Parietal, INRIA on sabbatical leave at McGill (MNI and Mila), Director of the scikit-learn operations at Inria foundation and, also member of the board of the PARIS-SACLAY Center for Data Science (CDS). His main research area is data mining of functional brain images (fMRI) to learn models of brain function. Encoding and decoding models of cognition, Resting-state and functional connectivity Functional parcellations of the brain, Spatial penalties for learning and denoising are the topics of his academic research in “Machine learning to link cognition with brain activity”.
13:45 -14:15 Simon Schultz
Dr. Simon Schultz is the as head of the Neural Coding Laboratory in the Department of Bioengineering since 2004.His main interest is in "reverse engineering" the information processing architecture of the brain. Specifically investigate the basic principles of information processing in cortical circuits. He took an "engineering approach" which involves both doing experiments (in mice), together with theoretical work to help to understand the data from these experiments. For the experimental area, two-photon microscopy, optogenetics and electrophysiology to measure (and perturb) patterns of neuronal activity in vivo are the topics he worked on. As the theoretical side, he developed new algorithms for analysing the resulting data (particularly making use of Information Theory).
Break
15:00 -15:45 Speaker 5
15:45 -16:15 Dr. Shehroz Khan
Dr. Shehroz Khan is the Research Scientist at the KITE in Toronto Rehabilitation Institute University Health Network and, assistant professor at the Institute of Biomaterials and Biomedical Engineering (IBBME) in University of Toronto and also, Principal and Co-Principal Investigator on grants from AGEWELL, CABHI and CIHR. His main research focus is the development of machine learning and deep learning algorithms within the realms of Aging, Rehabilitation, and Intelligent Assistive Living (ARIAL).
16:15 -17:00 Speaker 7
17:00 -17:45 Speaker 8
Break
18:15 -19:00 Speaker 9
19:00 -20:30 Panel Discussion (?)
19:45 -20:45 ???????
20:45 -21:00 Wrap up the workshop

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