Yun Soung Kim, PhD
img_Yun Soung Kim
ASSISTANT PROFESSOR | Diagnostic, Molecular and Interventional Radiology
Research Topics
Biomedical Sciences, Nanotechnology, Neurophysiology, Sleep Medicine, Technology & Innovation
Multi-Disciplinary Training Area
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Disease Mechanisms and Therapeutics (DMT), Neuroscience [NEU]

Dr. Yun Soung Kim is an Assistant Professor of Radiology at the BioMedical Engineering and Imaging Institute of the Icahn School of Medicine at Mount Sinai. His research focuses on the development of soft, stretchable, and wireless electronic systems that seamlessly integrate with the skin for real-time health monitoring and human-machine interfaces. Dr. Kim earned his B.S. and M.S. in Materials Science and Engineering from the University of Illinois Urbana-Champaign in 2009 and 2012, respectively, and his Ph.D. in Bioengineering from the University of California San Diego in 2017. He then completed a postdoctoral fellowship at Georgia Institute of Technology, where he later served as Research Faculty until 2022. By leveraging cutting-edge nanomanufacturing technologies—including MEMS, aerosol-jet and screen printing, laser micromachining, and electronic chip integration—Dr. Kim is pioneering next-generation wearable biosensors with direct clinical and consumer applications. His work includes a printed stress-monitoring patch, a multi-functional wearable with real-time alerts powered by machine learning, and face-wearable sensors for ocular therapies.

To learn more about Dr. Kim’s research, visit the Advanced Wearable Sensors and Electronics Laboratory (AWSEL).

Smart Health Care Enabled by Soft Wearable Sensors
The stretchable electronic sensors contain miniaturized integrated circuit components for long-range wireless communication, signal processing, and power management. The patch-like form factor allows the electronic sensors to be attached to areas beyond conventional acquisition sites as well as the ability to deploy multiple devices to capture a novel set of physiological data. Leveraging both machine learning algorithms and the abundance of personalized data, the stretchable electronic sensors serve as the perfect platform for disease diagnosis, human-machine interfaces, and long-term health monitoring, all without disrupting the user’s life style.
On-Skin Application of Soft Electronics
Human skin not only serves as the protective barrier for our internal organs but also provides numerous physiological information often manifested as time-varying electrical pulses. While employing these pulses (and other signals) to understand human health and disease diagnosis is nothing new (e.g., electrophysiology), the physical bulk of conventional tools needed to conduct electrophysiology critically limits where and when such recordings could take place. Extremely thin, low-profile, and stretchable electronic sensors that resemble a temporary tattoo, a clear bandage, or a sticky tag, enable comfortable and safe integration with human skin for high-fidelity human health and behavior monitoring.
Design and Fabrication of Soft Stretchable Electronics
Strategic integration of stretchable thin-film interconnection and soft materials, whose electrical and mechanical properties are tuned per application, grants a low-profile electronic system fully contained and functional for a comfortable and versatile skin integration. Dr. Kim and his colleagues showed the feasibility to replace the MEMS-based manufacturing process with an additive approach by various nano ink materials and an aerosol jet printer. Combining the novel method to release-and-transfer a large-area, stretchable electronic film, aerosol jet printing is beginning to shape the next era of the manufacturing of low-cost electronics.

BS/MS, University of Illinois at Urbana-Champaign

PhD, University of California San Diego

Postdoc, Georgia Institute of Technology

2024

Fascitelli Research Scholar Award

The Friedman Brain Institute

2023

Mount Sinai Innovation Partners i3 Genesis Award

Mount Sinai Innovation Partners

2022

AMSM 2022 Young Scientist Award

Active Materials and Soft Mechatronics