The Computational Connectomics (CoCo) Laboratory is a part of the Department of Radiology at Weill Cornell Medicine in New York, NY and located on Cornell University's main campus in Ithaca, NY. Our lab focuses on using quantitative methods, including machine learning, applied to MRI-based measures of brain connectivity networks to understand the mysteries of the human brain. One major interest of our lab is in uncovering connectome-based mechanisms of impairment and recovery after neurological injury or disease, including traumatic brain injury, multiple sclerosis and stroke. If we can understand brain-behavior relationships, we may be able to develop accurate diagnostics, prognostics and individualized therapeutics that can boost recovery after neurological disease or injury.
Interested in joining the lab?
Come work with us! We have positions available for graduate students, postdoctoral fellows and Research Associates. Please email a CV and cover letter describing your research interests to firstname.lastname@example.org
News & Updates
Amy, Keith and co-investigator Sudhin Shah's work is featured in this month's NYP's Archives of Physical Medicine and Rehabilitation
Amy's paper in Current Opinion in Neurology was published today.
Amy Kuceyeski and Mert Sabuncu were awarded a Multi-Investigator Seed Grant from the Office of Academic Integration for their project Creating and Validating a Novel, Non-Invasive Method for Targeted Brain Activation
Congrats Amy and Mert!
We are pleased to announce that Sneha Pandya has officially joined the CoCo Lab as a research associate!
We are pleased to announce that Parker Singleton has officially joined the CoCo Lab as a doctoral student. Welcome Parker!
Amy and Keith's Human Brain Mapping paper on TBI recovery was chosen to be included in the Editor's Choice Collection for 2020 and was nominated for the Best Paper Award at OHBM 2020. Congrats Amy and Keith!