Ki-Soo Jeong, PhD

Postdoctoral Fellow
Cleveland Clinic Research

I am a biomedical engineer and neuroscientist studying sensory processing, pain, and behavior through experimental and computational approaches.

My research interests include neural circuits, in vivo electrophysiology, quantitative behavioral analysis, and neuroengineering.

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Ki-Soo Jeong

Education

Ph.D., Biomedical Engineering — Brown University, 2025
Sc.M., Biotechnology — Brown University, 2018
B.S., Biochemistry — University of Washington, 2013

Selected Publications

  1. Jeong, K.-S., et al. (2026). Automated detection of blink reflexes evoked by optogenetic stimulation of TRPV1-lineage corneal afferents in transgenic mice. Journal of Neuroscience Methods.

  2. Zhu, C.*, Jeong, K.-S.*, et al. (2025). Spinal cord stimulation using time-dynamic pulses achieves longer reversal of allodynia compared to tonic pulses in a rat model of neuropathic pain. Frontiers in Pain Research, 6, 1541078. (*Co-first author).

Additional Publications

  1. Florea, R., Jeong, K.-S., & Saab, C. Y. (2026). Machine learning for discovery of clinical pain biomarkers following spinal cord injury. Experimental Neurology, 398, 115649.

  2. Sheikh, S. R., McKee, Z. A., Ghosn, S., Jeong, K.-S., et al. (2024). Machine learning algorithm for predicting seizure control after temporal lobe resection using peri-ictal electroencephalography. Scientific Reports, 14, 21771.

  3. Edhi, M. M., Heijmans, L., Vanent, K. N., Bloye, K., Baanante, A., Jeong, K.-S., et al. (2020). Time-dynamic pulse modulation of spinal cord stimulation reduces mechanical hypersensitivity and spontaneous pain in rats. Scientific Reports, 10, 20358.

Honors & Awards