Upcoming Speaker Series Events

Dr. Philip L. De Jager is the Weil-Granat Professor of neurology (in the Taub Institute for Research on Alzheimer's disease and the Aging Brain and the Columbia Precision Medicine Initiative) at Columbia University Irving Medical Center. He serves as chief of the Department of Neurology's Division of Neuroimmunology, which focuses on characterizing, targeting and treating neuroinflammatory diseases and the neuroimmunologic component of neurodegenerative diseases. He integrates rigorous statistical methodology with high-dimensional data from the brain and cerebrospinal fluid to pursue translational questions in a team-based manner and enhance the delivery of care to patients.

Topic: Cell population structure of the aging brain: towards a high-resolution perspective of human neurodegeneration.

Event link: https://camh.webex.com/camh/onstage/g.php?MTID=ed25884c4a8b147ec7ca457a60c97ae1f
Event ID: 171 924 4209
Event Password: KCNISS1027
Call in (Toronto): +1-647-484-1598
Access ID: 171 924 4209

Stephanie R. Jones, PhD is Associate Professor in Department of Neuroscience at Brown University. She received her doctorate in mathematics from Boston University, followed by training in neuroscience and human magneto- and electro-encephalography (MEG/EEG) at Massachusetts General Hospital. Her research program integrates these disciplines to develop biophysically principled computational neural models that bridge the critical gap between human MEG/EEG brain imaging signals and their underlying cellular and network level generators. She collaborates extensively with animal neurophysiologists, cognitive neuroscientists, and clinicians to develop data constrained models that are translationally relevant. Her group has recently developed their unique neural modeling into a user-friendly software tool for researchers and clinicians to interpret the circuit origin of their human MEG/EEG data: Human Neocortical Neurosolver. 

Dr. Jones’s group has expanded their interdisciplinary program to the field of non-invasive brain stimulation. A primary goal is to translate an understanding of the network mechanism underlying non-invasively measured brain signals into brain stimulation strategies to improve disrupt brain function.

Topic: Biophysically Principled Neural Modeling of EEG to Guide Interpretation and Design of Non-Invasive Brain Stimulation.

Event link: https://camh.webex.com/camh/onstage/g.php?MTID=ea73fb828da506965fd33ce5f72ae50da
Event ID: 171 221 1622
Event Password: KCNISS1123
Call in (Toronto): +1-647-484-1598
Access ID: 171 221 1622