UF Neurotech Dinner

UF Neurotech Dinner

Illuminating neural circuits: from molecules to MRI for precision brain health

Jin Hyung Lee, PhD

Associate Professor
Neurology and Neurological Sciences, Bioengineering, Neurosurgery, and Electrical Engineering (Courtesy)
Stanford University

Tuesday, August 20th, 2019

5:30 pm – Dinner
5:45 pm – Presentation / Discussion
7:30 pm – End (no later than)

RSVP: Dina Quinn

Location: NIMET / NRF (Room 115)

Parking: see map below


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Starting from the first observations of neurons, neuroscientists have strived to understand how the neurons are connected and communicate with each other. Owing to astonishing technological advancements, we are now able to measure multiple aspects of neuronal organization including their molecular pathways, electrical activity, and large-scale functional changes. However, we still lack a comprehensive understanding that can concretely describe how any particular behavior is controlled. Beyond the lack of understanding, this also means that when abnormal behavior arise in neurological disease such as tremors, neuropsychiatric disorders, or memory loss, it is impossible to figure out exactly how the function should be restored. In this talk, we demonstrate an approach putting the puzzle together by an intelligent, systematic combination of brain function signal measurements, manipulations, and modeling, starting from MRI scale going down to single unit recordings and molecular mechanisms with the goal of treating neurological disease..

Speaker Bio:

Dr. Lee received her Bachelor’s degree from Seoul National University and Masters and Doctoral degree from Stanford University, all in Electrical Engineering. She is a recipient of the 2008 NIH/NIBIB K99/R00 Pathway to Independence Award, 2010 NIH Director’s New Innovator Award, 2010 Okawa Foundation Research Grant Award, 2011 NSF CAREER Award, 2012 Alfred P. Sloan Research Fellowship, 2012 Epilepsy Therapy Project award, 2013 Alzheimer’s Association New Investigator Award, 2014 IEEE EMBS BRAIN young investigator award, 2017 NIH/NIMH BRAIN grant award, and 2018 Lina 50+ Award Grand Prize. As an Electrical Engineer by training with Neuroscience research interest, her goal is to analyze, debug, and engineer the brain circuit through innovative technology.