I am an engineer, specializing in Neural Interface and Signal Processing (Machine Learning). Committed to mitigating disparities in healthcare (& education), I am developing innovative and affordable medical technologies. My goal is to democratize advanced medical solutions, ensuring they benefit all sectors of society.
Ultimately, my interests focus on challenging the limited understanding of our irreplaceable organ, the brain, and curing neural diseases.
Being goal-oriented with health care, I study across disciplines. My broad experience and diverse skill set enable me to quickly learn new knowledge and tools, applying them to clinical challenges
Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Republic of Korea (Mar. 2018 ~ Feb. 2025)
- Dept: Bio and Brain Eng
- GPA: 4.22/4.3 (Major), 4.0/4.3 (Overall; 150 credits completed)
- Summa Cum Laude (1st in the department)
Swiss Federal Institute of Technology in Lausanne (EPFL) Lausanne, Switzerland (Exchange student - 2023 Spring semester)
- Dept: Life Sciences Eng. / Semester project: Electrical Eng.
thermal drawing tower, ultrasound transducer, nanoparticles,
3D printer, microfluidics syringe pump, rodent stereotaxic instrument, cryostat, confocal microscopy, Lab Rat - Synapse, Oscilloscope, Arduino, Linux server
Languages: Python, Matlab, R, Java | Novice: C++, SQL, HTML, CSS
My primary focus is on improving neural interfaces in order to better understand the brain and address neurological diseases. I aim to contribute to the development of an advanced neural interfacing system for treating neural disease, integrating various neuro-engineering approaches into a versatile application, such as electrical, chemical, optical, acoustic, and magnetic. Furthermore, I firmly believe that neural engineering will shape a new world, just as computers and the internet have. I aspire to be at the forefront, leading this future so that everyone can enjoy the new world with neurotechnology.
My past experience encompasses the entire spectrum of neural engineering and medical device development. The scope and depth of my expertise are demonstrated in the research projects detailed here [Projects].
Neural/Bio Interface @ Biomedical and Neural Interface Lab (KAIST)
Seizure Detection @ Signal Processing Laboratory (EPFL) & Machine Intelligence Healthcare Lab (CHA)
Glaucoma Device @ MICROT & Samsung Medical Center
Inequality @ School of Digital Humanities & Computational Social Sciences (KAIST, Prof. Seung-ook Lee)
Wireless neural stimulation using focused ultrasound with piezoelectric nanoparticles
Hydrogel multi-functional neural probe
AI Digital Health using Keystroke Dynamics
Expert modeling for
seizure detection
Patient-specific
graph Neural Network (GNN) for seizure detection
Glaucoma drainage devices
Inequality
Soft Material Microfabrication (Thermal Drawing Process)
3D Printing
Microfluidics
Animal Surgery
in-Vivo Electrophysiology
Immunostaining
EEG signal processing
Machine Learning
Scikit-learn: RF, SVM
PyTorch: CNN, GNN)
Finite Element Analysis (software: ANSYS, COMSOL)
Statistical Analysis
Certificates
Neuromorphic Semiconductor (PIM Semiconductor Design Research Center)
Natural Language Processing (Institute for Information & communication Technology Planning & evaluation)
Neural Networks and Deep Learning (Coursera, DeepLearning.AI)
Creating Chatbots on Google Cloud training (KAIST IT Academy)
Animal/LMO Research (KAIST IACUC, Korea Research Institute of Bioscience and Biotechnology)