·4 min read
Why I Started This Website
Reflecting on turning 30, the loss of digital memories makes me decide to document life's sparkles before they fade.
Personal ReflectionLife Lessons
Bioelectronic Medicine Researcher & Medical Device Engineer
About Me
I'm an Electrical Engineering Ph.D. specializing in medical devices and signal processing at the intersection of engineering, neuroscience, and AI to advance next-generation healthcare technology.
My work develops next-generation wearable medical devices that non-invasively capture autonomic neurography (ANG) and physiological biomarkers—currently pursuing FDA 510(k) clearance for technologies addressing inflammation and mental health.
I combine expertise in electrical engineering, machine learning, and biomedical engineering with a focus on translating cutting-edge AI tools into clinical applications that improve patient outcomes.
Core Philosophy
Life-long Learner
Open-minded Collaborator
Mission Driven
System Thinker
Detail Oriented
Featured Projects and Experiences
2025 – 2026
Comprehensive Review on Vagus Nerve Stimulation (VNS)
First-authored a landmark systematic review on Vagus Nerve Stimulation, synthesizing extensive clinical and preclinical evidence to create the field's most comprehensive analysis and establish an evidence-based roadmap for future research and treatment protocols
Bioelectronics MedicineVagus Nerve StimulationComprehensive ReviewPhysiology
2024 – 2025
Roadmap for the Next Generation of Bioelectronic Medicine
Co-proposed technical framework for next-generation bioelectronic medicine, establishing non-invasive closed-loop neuromodulation approaches for mental health and inflammation diagnostics and precision treatment via autonomic nervous system monitoring
Bioelectronic MedcineClosed-Loop NeuromodulationNeuro-Immune Diagnostics
2022 – 2023
Magnetoencephalography (MEG) Based Brain-Computer Interface (BCI)
Developed MEG-RPSnet deep learning model achieving 86% accuracy in decoding hand gestures from noninvasive brain imaging data, matching invasive electrocorticography (ECoG) performance
Magnetoencephalography (MEG)BCISignal ProcessingDeep Learning
2022 – 2024
Qualcomm Institute Artificial Intelligence Program Instructor
Instructed biannual AI Development Project for 100+ undergraduates from 9 top universities in South Korean on machine learning algorithms, big data analysis, and applied AI through supervised team projects
MentorshipMachine LearningAIBig Data Analysis
2014-2016
One-Person Food Service
Solo-operated lunch service handling ingredient sourcing, cooking, delivery, and accounting end-to-end, all while managing academic commitments
EntrepreneurshipOperations ManagementSelf-relianceCooking
2013
Coming-of-Age Challenge: Biking 650 miles in 5 Days at 18
Rode 650 miles solo over five days including moutain terrian, using only a compass and a map for navigation
Problem SolvingAdventureUncertainty Adaptation
Gallery
Ph.D. graduation ceremony with my advisors and friends(2024)
Interested in collaborating?
I'm always open to discussing new research collaborations, consulting opportunities, or just connecting with fellow scientists and engineers.