Kisuk Lee
Connectomics Research Scientist at Zetta AI
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKisuk Lee is a Connectomics Research Scientist with 11 years of experience blending deep learning and neuroanatomy to map neural circuits. He holds a Ph.D. from MIT in Brain and Cognitive Sciences and has driven algorithmic advances for segmenting electron microscopy data at Seung Lab, Princeton Neuroscience Institute, and now Zetta AI. Kisuk’s work spans academic and industry settings—postdoctoral research at Princeton and ongoing applied research at Zetta—where he translates cutting-edge models into scalable connectomics pipelines. Based in Seoul, he brings a rare dual background in computer science and biological science from Seoul National University, enabling him to bridge domain knowledge and engineering rigor. An active researcher with a Google Scholar profile, he is known for pushing automation in EM image analysis and for pragmatic solutions that accelerate large-scale circuit reconstruction.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Brain and Cognitive Sciences, Doctor of Philosophy (Ph.D.), Brain and Cognitive Sciences at Massachusetts Institute of TechnologySeohyun High SchoolBachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at 서울대학교 / Seoul National University
English
Github Skills (24)
multicore10
sliding-window10
data-provider9
3d9
deep-learning9
data-augmentation8
pipeline5
python5
c-extension4
cpp3
microscopy3
large-image3
biomedical-image-processing3
datasets2
matrix2
Programming languages (3)
Github contributions (5)
seung-lab/DeepEM
Mar 2018 - May 2021
Deep Learning for EM Connectomics
Contributions:7 releases, 370 commits, 4 PRs in 3 years 2 months
deep-learning
ZettaAI/DataProvider3
May 2022 - Mar 2026
DataProvider for Python3
Contributions:1 PR, 3 pushes, 2 branches in 3 years 10 months
data-analysispythonpython3dataprovideraltair
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