Research fellow

Sojin Song, PhD

Incoming Postdoc Research Fellow in Radiology, Mass General Brigham and Harvard Medical School

Incoming Researcher, Shriners Children’s Boston

Academic & Professional Experience

• Department of Convergence Medicine, Korea University College of Medicine, Seoul, Republic of Korea (2026 – Present)

• Brain Science Institutes, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea (2022 – 2026)

Education

• Ph.D. in Chemical Engineering, Korea University 

• B.S. in Chemistry, Seoul Women’s University 

Dr. Sojin Song graduated from Korea University with a Ph.D. in Chemical Engineering. At the NOVA Lab, she primarily works on discovering extracellular vesicle (EV)-based biomarkers for Alzheimer’s disease. Her focus is on developing label-free SERS detection assays based on DNA-directed nanoparticle synthesis and performing AI-based multi-omics analysis for disease prediction. She has led research projects on AI-integrated biosensing platforms for dementia and neurodegenerative diseases. Her work includes developing an all-in-one in vitro diagnostic system for blood-based dementia prediction and an integrated SERS-AI platform for real-time monitoring and therapeutic response prediction in an NVU-Parkinson brain model.

1. Song S, Hyung S, Lee J, Kim HN, Choi N. Recent advances in biosensing platforms utilizing exosomal biomarker profiling for cancer diagnosis. Biosensors and Bioelectronics. 2026;309:118809.

2. Song S, Kim S, Lee JS, Kang HW, Seok JH, Park MS, Choi N, Sung YJ, Sim SJ. Filtering evaluation of multiplex respiratory virus-like particles by machine learning-assisted surface-enhanced Raman spectroscopy. Sensors and Actuators B: Chemical. 2025;442:138152.

3. Kim J, Kang M, Han G, Hyung S, Kim M, Jang M, Lee HK, Seo Y, Gil KC, Kim C, Song S, Jeong S, Kim S, Kim MS, Shim JS, Kang SG, Lee YC, Chung S, Cho IJ, Shim TS, Song KH, Min J, Seong H, Lee K, Lee J, Lee C, Kim HN, Lee H, Kim SH, Kang JY, Bong KW, Choi N. Meso–macroporous hydrogel for direct litre-scale isolation of extracellular vesicles. Nature Nanotechnology. 2025;20:1678–1687.

4. Song S, Jeon MJ, Lee JU, Sim SJ. Recent advances in DNA-assembled plasmonic nanoarchitectures for biomedical applications. TrAC Trends in Analytical Chemistry. 2024;177:117784.

5. Song S, Lee JU, Jeon MJ, Kim S, Lee CN, Sim SJ. Precise profiling of exosomal biomarkers via programmable curved plasmonic nanoarchitecture-based biosensor for clinical diagnosis of Alzheimer's disease. Biosensors and Bioelectronics. 2023;230:115269.

6. Song S, Lee JU, Jeon MJ, Kim S, Sim SJ. Detection of multiplex exosomal miRNAs for clinically accurate diagnosis of Alzheimer's disease using label-free plasmonic biosensor based on DNA-Assembled advanced plasmonic architecture. Biosensors and Bioelectronics. 2022;199:113864.

7. Song S, Lee JU, Kang J, Park KH, Sim SJ. Real-time monitoring of distinct binding kinetics of hot-spot mutant p53 protein in human cancer cells using an individual nanorod-based plasmonic biosensor. Sensors and Actuators B: Chemical. 2020;322:128584.

8. Ma X, Song S, Kim S, Kwon MS, Lee H, Park W, Sim SJ. Single gold-bridged nanoprobes for identification of single point DNA mutations. Nature Communications. 2019;10:836.

9. Song S, Nguyen AH, Lee JU, Cha M, Sim SJ. Tracking of STAT3 signaling for anticancer drug-discovery based on localized surface plasmon resonance. Analyst. 2016;141(8):2493–2501.