KeunMin Ken Lee is a Biophysicist and AI Researcher at the Korea Brain Research Institute (KBRI). His research sits at the intersection of classical biophysics and modern machine learning, with a focus on developing novel tools to understand neurodegenerative diseases.
Drawing from his award-winning Ph.D. work at KAIST on molecular fractionation by diffusion, his current projects involve building multimodal AI systems and investigating the liquid-liquid phase separation of Tau proteins in the context of Alzheimer’s Disease. He holds both a Ph.D. in Bio and Brain Engineering and a B.S. in Physics from the Korea Advanced Institute of Science and Technology (KAIST).
Outside of the lab, he is a passionate tech enthusiast who enjoys building custom PCs and self-hosted servers, and is also an avid DJ and vinyl collector.
MS and PhD Joint Program Bio and Brain Engineering
Korea Advanced Institute of Science and Technology
BS Physics
Korea Advanced Institute of Science and Technology
My research mission is to decode the fundamental principles of biological systems by building bridges between physics, neuroscience, and artificial intelligence. I develop novel AI models to interpret complex, high-dimensional neural data, such as EEG and fMRI, with the goal of revealing the underlying biophysical mechanisms of neurodegenerative diseases.
Ultimately, I aim to extend this fundamental understanding of biology to new frontiers, exploring how life operates and adapts in extreme environments. By creating robust, data-driven models of terrestrial biology, we can lay the groundwork for the next era of research in space. I am always looking for new collaborations at this exciting intersection of fields.