Summary
J Bae is an assistant professor and computational neuroscientist with nine years of experience applying AI and connectomics to predict neural circuit function from 3D biological images. Trained at Princeton (PhD) and KAIST (BS), he bridges electrical engineering, neuroscience, and machine learning to reconstruct neurons and organelles from EM data across models from C. elegans to mouse. His work uniquely combines spatial omics integration with structural reconstructions to link molecular identity to circuit motifs and behavior. Having transitioned from postdoctoral research and industry R&D at Zetta AI to an academic faculty role in Seoul, he blends production-minded AI techniques with fundamental neurobiological questions. Notably, he focuses on decoding how specific ultrastructural patterns drive neuronal dynamics, a perspective that informs both basic neuroscience and scalable computational tools.
9 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
Doctor of Philosophy - PhD, Electrical and Computer Engineering / Neuroscience, Doctor of Philosophy - PhD, Electrical and Computer Engineering / Neuroscience at Princeton University
English, Korean