Dr. Lindsey previously developed matrix array transducers, adaptive beamforming strategies, and interventional devices in Stephen Smith’s lab at Duke University, where he received a Ph.D. for his work in 3D transcranial ultrasound. While at Duke, he was the recipient of a pre-doctoral fellowship from the National Institutes of Health (NIH) as part of the Duke Medical Imaging Training Program. He also completed postdoctoral training in the labs of Paul Dayton and Xiaoning Jiang at the University of North Carolina and North Carolina State University in contrast-enhanced ultrasound imaging and in the design and fabrication of high frequency, interventional ultrasound transducers. During this time, he was awarded the Ruth L. Kirschstein National Research Service Award from the NIH to develop endoscopic transducers for contrast-specific imaging in pancreatic cancer. Dr. Lindsey recently joined the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech-Emory, where he leads the Ultrasonic Imaging and Instrumentation Laboratory. Dr. Lindsey is an active member of the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society, the Biomedical Engineering Society and the American Institute of Ultrasound in Medicine and is a member of the Technical Program Committee for the IEEE International Ultrasonics Symposium. In 2022, Dr. Lindsey received the New Investigator award from the American Institute of Ultrasound in Medicine. At Georgia Tech, Dr. Lindsey holds a primary appointment in Biomedical Engineering. He is also a faculty member for the Interdisciplinary Bioengineering Graduate Program and holds an adjunct appointment in the School of Electrical and Computer Engineering. Lab members have received best paper, best poster, and best student pitch awards from the IEEE UFFC Society. Research activities in the lab are currently funded by the National Institutes of Health and the National Science Foundation.
Georgia Institute of Technology
In the Ultrasonic Imaging and Instrumentation lab, we develop transducers, contrast agents, and systems for ultrasound imaging and image-guidance of therapy and drug delivery. Our aim is to develop quantitative, functional imaging techniques to better understand the physiological processes underlying diseases, particularly cardiovascular diseases and tumor progression.
Research Affiliations: Center for Medical Robotics