Department of Neurobiology and Behavior
W361 Mudd Hall, 215 Tower Rd, Ithaca, NY 14853
I’m a post-doc scientist work in the interdisciplinary field of Neuroscience/Electric Engineering. In my line of work, I’m focusing on developing neural interface technologies and translate those technology to advance neuroscience researches.
One of the biggest challenges in clinical healthcare is ensuring the medicine are safe and effective for patients. However, many symptoms are not responding well to the existing drugs, including chronic pain and drug-resistant epilepsy. In addition, the safety of many commonly used drugs, including antidepressants, analgesics are challenged by drug abuse and side effects. Modern medicine provides accurate diagnoses and precision treatment for the better healthcare of patients. Implantable bioelectronics has been a crucial component of current clinical practice and has proven successful in treating many drug-resistant clinical syndromes, including arrhythmia, Parkinson's Disease, epilepsy, and chronic pain. Those devices were developed with multidisciplinary approaches, including biology, material science, and electrical engineering. I am well-versed in using interdisciplinary approaches to develop tools and novel technologies to find solutions to existing challenges of modern healthcare challenges. My previous research experiences were focused on clinical challenges, including epilepsy and pain. I developed novel technologies enabling better diagnosis and treatment with implantable electronic devices. My long-term goal is to build technology with engineering and material science principles that will enable an improved understanding of higher cognitive functions and lead to therapeutic systems that will benefit clinical healthcare.
2011.9 – 2017.11 Peking University
2007.9 – 2011.7 Peking University
Cea C*, Zhao Z*, Wisniewski D, Spyropoulos G, Polyravas A, Gelinas J, Khodagholy D. Integrated internal ion-gated organic electrochemical transistors for stand-alone conformable bioelectronics. Nature Materials. 2023
Hassan, A., Zhao, Z., Viswanathan, A., Sheth, S., Khodagholy, D., Gelinas, J. Single-unit resolution Neurogrid for clinical electrocorticography. Advanced Science. 2022
Zhao, Z., Spyropoulos, G., Cea, C., Gelinas, J, Khodagholy, D. Ionic communication for implantable bioelectronics. Science Advances**.** 8, eabm7851. 2022
Zhao, Z., Cea, C., Gelinas, J., Khodagholy, D. Responsive manipulation of neural circuit pathology by fully implantable, front-end multiplexed embedded neuroelectronics, Proceedings of the National Academy of Sciences of the United States of America, 118 No. 20, 2021
Ma, J***., Zhao, Z***,. A novel 3D-printed multi-drive system for synchronous electrophysiological recordings in multiple brain regions. Frontiers in Neuroscience,13 ,1322, 2019
**Zhao, Z., Wan, Y. Electrophysiological signature of pain. Advances in Pain Research: Mechanisms and Modulation of Chronic Pain, 167-177, 2018
Zhao, Z. F., Li, X. Z., & Wan, Y. (2017). Mapping the Information Trace in Local Field Potentials by a Computational Method of Two-Dimensional Time-Shifting Synchronization Likelihood Based on Graphic Processing Unit Acceleration. Neuroscience bulletin, 33(6), 653-663. 2017
Li, X., Zhao, Z., Ma, J., Cui, S., Yi, M., Guo, H., & Wan, Y. (2017). Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats. Frontiers in neural circuits, 11, 71. 2017
Khodagholy, D., Gelinas, J. N., Zhao, Z*., Yeh, M., Long, M., Greenlee, J. D., ... & Buzsáki, G. Organic electronics for high-resolution electrocorticography of the human brain. Science advances, 2(11), e1601027. 2016
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| China Scholarship Council joint-PHD program | 2013-2015 |
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