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Registration is Now Closed

 

The 6th Annual Neurosurgery Research Symposium will be held on March 26, 2025, with this year’s focus on Engineering Approaches to Neurosurgery. The event will run from 8am to 5pm in the Clinical Academic Building, room 1302, 125 Paterson St., New Brunswick, NJ.

Hosted by Dr. Detlev Boison and Dr. Hai Sun, the Neurosurgery Research Symposium is a yearly event designed to showcase research accomplishments from our department and to connect students, postdocs, residents, and clinical and research faculty during an interactive day of research presentations and discussions. This year’s theme, Engineering Approaches to Neurosurgery, will delve into the transformative influence of engineering in advancing neurosurgical care. We are privileged to have pioneers in this field, Dr. Cameron McIntyre (Duke University) and Dr. Chethan Pandarinath (Emory University and Georgia Institute of Technology) join us as plenary speakers.

The event brings together a local audience of researchers and clinicians, with the goal to highlight new developments in neurosurgery research covering the entire spectrum from basic, translational, clinical and outcomes research and ultimately outline pathways from the newest basic research findings to clinical implementation.

Don’t miss the chance to explore the latest breakthroughs and be a part of shaping the future of neurosurgery.

 

Plenary Speakers

 

 alt=  Cameron McIntyre, PhD
Professor of Biomedical Engineering, Professor in Neurosurgery,
Department of Biomedical Engineering, Duke University

The McIntyre Laboratory hopes to improve deep brain stimulation (DBS) for the treatment of movement disorders and provide the fundamental technology necessary for the effective application of DBS to new clinical arenas.

 Chethan Pandarinath, PhD
Associate Professor, Wallace H. Coulter Department of Biomedical Engineering, Emory University & Georgia Institute of Technology

Dr. Pandarinath directs the Systems Neural Engineering Lab, whose research sits at the intersection of neural engineering, systems neuroscience, and artificial intelligence, with dual goals of better understanding the nervous system and designing assistive devices for people with paralysis.