Plenary
Hanjoong Jo, Ph.D.
Wallace H. Coulter Department of Biomedical Engineering
Emory University and Georgia Tech, Atlanta, GA
Division of Cardiology
Department of Medicine
Emory University, Atlanta, GA
Professor Hanjoong Jo is Coulter Distinguished Chair Professor and Associate Chair in the Department of Biomedical Engineering (BME) and the Department of Medicine at Emory University and Georgia Tech, where he directs the Cardiovascular Mechanobiology, Therapeutics, and Nanomedicine Lab. He is the Director of the Cardiovascular Biomechanics T32 Graduate Training Program at Emory/GT. He studies how blood flow regulates vascular endothelial function, leading to atherosclerosis and aortic valve disease. He has trained >70 PhDs and postdocs and >70 undergraduates, many of whom have become leaders in universities, industries, and government. He has published >240 peer-reviewed papers and three books. He is an elected fellow of the Am Association Advancement Science, BME Society, Am Institute of Medical and Biomedical Engineers, Am Heart Association, and Am Physiological Society. He received a Marshall Distinguished Investigator Award from the British Society of Cardiovascular Research. He has served as an Editorial Board Member and Associate Editor of many high-impact journals. He was the Chair of the 2012 Annual BME Society Meeting, the 2023 Gordon Research Conference in Biomechanics of Vascular Biology and Disease, and the International Symposium in Biomechanics in Cardiovascular Diseases. He was the Vice President of the Korean-Am Scientists Engineers Association.
Jungsang Kim, Ph.D.
Department of Electrical and Computer Engineering
Duke Quantum Center
Duke University, Durham, NC
Jungsang Kim is the Schiciano Family Distinguished Professor of Electrical and Computer Engineering, and a Professor of Physics at Duke University. Kim leads the Multifunctional Integrated Systems Technology group, and is a pioneer in the field of quantum computing and information technology. Over the past two decades, Kim worked on developing practical and commercially viable technology to build quantum computers using trapped atomic ions. Kim had led several multidisciplinary collaborative projects in quantum computing and quantum communications, across academia, industry, and national labs. In 2015, Kim co-founded IonQ, Inc., which became the first publicly-traded quantum computing company in 2021. Kim served as the Chief Technology Officer until 2024. In 2025, Kim was appointed as the Chief Science and Technology Strategist for the Provost at Duke University. Dr. Kim received his B.S. degree from Seoul National University, and his Ph.D. degree from Stanford University, both in Physics. He served as a Member of Technical Staff and Technical Manager at Bell Laboratories, Lucent Technologies, before joining Duke faculty in 2004. Kim is a member of the National Academy of Inventors, the American Physical Society, and Optica (formerly Optical Society of America).
Jin Hyung Lee, Ph.D.
Department of Neurology
Department of Bioengineering
Department of Neurosurgery
Department of Electrical Engineering
Stanford University, Stanford, CA
Jin Hyung Lee, PhD is an Associate Professor of Neurology and Neurological Sciences, Bioengineering, Neurosurgery, and Electrical Engineering (Courtesy) at Stanford University and the founder of LVIS. Dr. Lee received her Bachelor’s degree from Seoul National University and Masters and Doctoral degree from Stanford University, all in Electrical Engineering. Dr. Lee 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, and 2019 NIH Director’s Pioneer Award. As an Electrical Engineer by training with Neuroscience research interest, her goal is to analyze, debug, and engineer the brain circuit through innovative technology.