Neuro Epilepsy Day and Pierre Gloor Lecture

The Neuro Epilepsy Day and Pierre Gloor Lecture is a half-day event. The day will focus on big data in research and management of epilepsy. It includes a keynote entitled Automated Analysis of EEG delivered by Dr. Dang Nguyen, trainee presentations, a poster session, and the Pierre Gloor Lecture entitled Engineering The Future of Epilepsy Care delivered by Dr. Brian Litt.

The Pierre Gloor lecture honours the life and legacy of Pierre Gloor (1923-2003) who joined McGill's Montreal Neurological Institute in 1952 as a fellow in electroencephalography and neurophysiology. There, he studied with Wilder Penfield and Herbert Jasper, eventually receiving his Ph.D. from McGill in 1957. Pierre Gloor worked closely with the clinical and research teams at the Montreal Neurological Institute in the treatment of epilepsy. His work in understanding and treating this disorder earned him a worldwide reputation.

Dang K. Nguyen is the current chief of neurology at the Montreal University Hospital Center (CHUM). He obtained his MD, PhD and neurology degrees at the University of Montreal and completed his epilepsy fellowship training at Yale University. For the last 23 years, he has been caring for complex epilepsy cases at the CHUM. He is also a principal scientist at the CHUM Research Center, full professor in the Department of Neurosciences at the University of Montreal and holds a Canada Research Chair in Epilepsy. Having previously been the president of the Canadian League against Epilepsy, he is currently on the executive board of the North American Commission of the International League against Epilepsy.

Dr. Litt is the Perelman Professor of Neurology, Neurosurgery and Bioengineering at the University of Pennsylvania. He divides his time equally between the Schools of Medicine and Engineering, and directs centers in Neuroengineering, Epilepsy research and Device Innovation. Dr. Litt is a neurologist who treats patients with epilepsy. His research focuses on NeuroEngineering: materials, hardware, imaging, algorithms, data science, machine learning, and high-speed computing for neural interfaces and devices. His laboratory translates basic science into new diagnostic and therapeutic technologies, with a focus Epilepsy and other brain network disorders. Dr. Litt also works on infrastructure and platforms for international data sharing and integration at scale, and his open-source platforms, IEEG.org and Pennsieve, are used by thousands of researchers worldwide. Dr. Litt has won awards for teaching, research and mentoring, including an NIH Pioneer Award, the AES Clinical Research Award, and the NIH/ NINDS Landis Award for mentoring.

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