People

E-mail: eunseo.cho at kaist.ac.kr

Website: https://sites.google.com/view/eunseocho/main

Short Biography

Eun-Seo received his bachelor's degree in Biomedical Engineering from Hanyang University and his master’s degree in Electrical Engineering from KAIST. Currently, he is a Ph.D. student in NICA lab and he works on developing novel optical imaging systems to image the neural activity of the entire brain with high spatial and temporal resolutions.

​Publications

*co-first authors

• S. Han, J. Y. You, M. Eom, S. Ahn, E.-S. Cho, Y.-G. Yoon, From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy, Advanced Photonics Research, 2024.

• M. Eom*, S. Han*, P. Park*, G. Kim, E.-S. Cho, J. Sim, K.-H. Lee, S. Kim, H. Tian, U. L. Böhm, E. Lowet, H. Tseng, J. Choi, S. E. Lucia, S. H. Ryu, M. Rózsa, S. Chang, P. Kim, X. Han, K. D. Piatkevich, M. Choi, C.-H. Kim, A. E. Cohen, J.-B. Chang, Y.-G. Yoon, Statistically unbiased prediction enables accurate denoising of voltage imaging data, Nature Methods, 2023.  

• E.-S. Cho, S. Han, G. Kim, M. Eom, K.-H. Lee, C.-H. Kim, Y.-G. Yoon, In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy, 2023, Journal of Visualized Experiments (JoVE), 2023. 

• J. Cho*, S. Han*, E.-S. Cho, K. Shin, Y.-G. Yoon, Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. 

• C. Shin*, H. Ryu*, E.-S. Cho, S. Han, K.-H. Lee, C.-H. Kim, Y.-G. Yoon. Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network, Medical Image Analysis, 2022. 

• J. Sim* , C. E Park* , I. Cho* , K. Min, M. Eom, S. Han, H. Jeon, H.-J. Cho, E.-S. Cho, A. Kumar, Y. Chong, J. S. Kang, K. D. Piatkevich, E. E. Jung, D.-S. Kang, S.-K. Kwon, J. Kim, K.-J. Yoon, J.-S. Lee, E. S. Boyden, Y.-G. Yoon**, J.-B. Chang**, Nanoscale resolution imaging of the whole mouse embryos and larval zebrafish using expansion microscopy, bioRxiv, 2022. 

• E.-S. Cho*, S. Han*, K.-H. Lee, C.-H. Kim, Y.-G. Yoon. 3DM: Deep decomposition and deconvolution microscopy for rapid neural activity imaging, Optics Express, 2021. (highlighted as  Editors' Pick)

• S. Han, E.-S. Cho, I. Park, K. Shin, Y.-G. Yoon. Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. 

• C. Shin*, H. Ryu*, E.-S. Cho, Y.-G. Yoon. RLP-Net: A Recursive Light Propagation Network for 3-D Virtual Refocusing, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. 

E-mail: jay0118 at kaist.ac.kr

Website: https://stevejayh.github.io/

CV: SeungjaeHan_CV_202311.pdf 

Short Biography

Seungjae is a Ph.D. student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degree in Integrated Technology from Yonsei University. He is developing novel methods to acquire and analyze calcium imaging data.

Awards

• Trainee Professional Development Award (TPDA), Society for Neuroscience, 2023

• AKN Outstanding Research Award, Association of Korean Neuroscientists, 2023

• Best Teaching Assistant Award, KAIST, 2023

Publications

*co-first authors

• H. Yu*, S. Han*, Y.-G. Yoon, Design Principles of Multi-Scale J-invariant Networks for Self-Supervised Image Denoising, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

• G. T. Franzesi*, I. Gupta*, M. Hu, K. Piatkevich, M. Yildirim, J.-P. Zhao, M. Eom, S. Han, D. Park, H. Andaraarachchi, Z. Li, J. Greenhagen, A. M. Islam, P. Vashishtha, Z. Yaqoob, N. Pak, A. D Wissner-Gross, D. A. Martin-Alarcon, J. J. Veinot, P. T. C. So, U. Kortshagen, Y.-G. Yoon, M. Sur**, E. S. Boyden**, In Vivo Optical Clearing of Mammalian Brain, bioRxiv, 2024. 

• S. Han, J. Y. You, M. Eom, S. Ahn, E.-S. Cho, Y.-G. Yoon, From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy, Advanced Photonics Research, 2024.

• M. Eom*, S. Han*, P. Park*, G. Kim, E.-S. Cho, J. Sim, K.-H. Lee, S. Kim, H. Tian, U. L. Böhm, E. Lowet, H. Tseng, J. Choi, S. E. Lucia, S. H. Ryu, M. Rózsa, S. Chang, P. Kim, X. Han, K. D. Piatkevich, M. Choi, C.-H. Kim, A. E. Cohen, J.-B. Chang, Y.-G. Yoon, Statistically unbiased prediction enables accurate denoising of voltage imaging data, Nature Methods, 2023.  

• E.-S. Cho, S. Han, G. Kim, M. Eom, K.-H. Lee, C.-H. Kim, Y.-G. Yoon, In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy, 2023, Journal of Visualized Experiments (JoVE), 2023. 

• J. Cho*, S. Han*, E.-S. Cho, K. Shin, Y.-G. Yoon, Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. 

• H. Kim*, S. Bae*, J. Cho, H.-Y. Nam, J. Seo, S. Han, E. Yi, E. Kim, Y.-G. Yoon**, J.-B. Chang**, IMPASTO : Multiplexed cyclic imaging without signal removal via self-supervised neural unmixing, bioRxiv, 2022.

• C. Shin*, H. Ryu*, E.-S. Cho, S. Han, K.-H. Lee, C.-H. Kim, Y.-G. Yoon. Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network, Medical Image Analysis, 2022. 

• J. Sim* , C. E Park* , I. Cho* , K. Min, M. Eom, S. Han, H. Jeon, H.-J. Cho, E.-S. Cho, A. Kumar, Y. Chong, J. S. Kang, K. D. Piatkevich, E. E. Jung, D.-S. Kang, S.-K. Kwon, J. Kim, K.-J. Yoon, J.-S. Lee, E. S. Boyden, Y.-G. Yoon**, J.-B. Chang**, Nanoscale resolution imaging of the whole mouse embryos and larval zebrafish using expansion microscopy, bioRxiv, 2022. 

• E.-S. Cho*, S. Han*, K.-H. Lee, C.-H. Kim, Y.-G. Yoon. 3DM: Deep decomposition and deconvolution microscopy for rapid neural activity imaging, Optics Express, 2021. (highlighted as  Editors' Pick)

• S. Han, E.-S. Cho, I. Park, K. Shin, Y.-G. Yoon. Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. 

E-mail: gyuri2102 at kaist.ac.kr

Website: 

Short Biography

Gyuri is a Ph.D. student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. She received her bachelor's degrees in School of Undergraduate Studies (major in Electrical Engineering) at DGIST.

​

Publications

*co-first authors

• H. Choo, M. Eom, G. Kim, Y.-G. Yoon, K. Shin, RASP: Robust Mining of Frequent Temporal Sequential Patterns under Temporal Variations, International Conference on Extending Database Technology (EDBT), 2025.|

• M. Eom*, S. Han*, P. Park*, G. Kim, E.-S. Cho, J. Sim, K.-H. Lee, S. Kim, H. Tian, U. L. Böhm, E. Lowet, H. Tseng, J. Choi, S. E. Lucia, S. H. Ryu, M. Rózsa, S. Chang, P. Kim, X. Han, K. D. Piatkevich, M. Choi, C.-H. Kim, A. E. Cohen, J.-B. Chang, Y.-G. Yoon, Statistically unbiased prediction enables accurate denoising of voltage imaging data, Nature Methods, 2023.  

• E.-S. Cho, S. Han, G. Kim, M. Eom, K.-H. Lee, C.-H. Kim, Y.-G. Yoon, In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy, 2023, Journal of Visualized Experiments (JoVE), 2023. 

E-mail: minho.eom.work at gmail.com

Website: linkedin.com/in/minho-eom

Short Biography

Minho Eom is a Ph.D. student in the School of Electrical Engineering at KAIST and a researcher at the Neuro-Instrumentation & Computational Analysis Lab. His research focuses on computational neuroscience of mental disorders, utilizing computational methods to investigate the neural mechanisms underlying psychiatric conditions. His work encompasses functional and structural connectomics, as well as neuro-image processing, to advance the understanding of brain function and its disorders. He received his B.S. degrees in Computer Science and Electrical Engineering from KAIST in 2021, and his M.S. in Electrical Engineering from KAIST in 2023.

​

Publications

*co-first authors

• H. Choo, M. Eom, G. Kim, Y.-G. Yoon, K. Shin, RASP: Robust Mining of Frequent Temporal Sequential Patterns under Temporal Variations, International Conference on Extending Database Technology (EDBT), 2025.

• G. T. Franzesi*, I. Gupta*, M. Hu, K. Piatkevich, M. Yildirim, J.-P. Zhao, M. Eom, S. Han, D. Park, H. Andaraarachchi, Z. Li, J. Greenhagen, A. M. Islam, P. Vashishtha, Z. Yaqoob, N. Pak, A. D Wissner-Gross, D. A. Martin-Alarcon, J. J. Veinot, P. T. C. So, U. Kortshagen, Y.-G. Yoon, M. Sur**, E. S. Boyden**, In Vivo Optical Clearing of Mammalian Brain, bioRxiv, 2024. 

• S. Han, J. Y. You, M. Eom, S. Ahn, E.-S. Cho, Y.-G. Yoon, From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy, Advanced Photonics Research, 2024.

• M. Eom*, S. Han*, P. Park*, G. Kim, E.-S. Cho, J. Sim, K.-H. Lee, S. Kim, H. Tian, U. L. Böhm, E. Lowet, H. Tseng, J. Choi, S. E. Lucia, S. H. Ryu, M. Rózsa, S. Chang, P. Kim, X. Han, K. D. Piatkevich, M. Choi, C.-H. Kim, A. E. Cohen, J.-B. Chang, Y.-G. Yoon, Statistically unbiased prediction enables accurate denoising of voltage imaging data, Nature Methods, 2023.  

• E.-S. Cho, S. Han, G. Kim, M. Eom, K.-H. Lee, C.-H. Kim, Y.-G. Yoon, In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy, 2023, Journal of Visualized Experiments (JoVE), 2023. 

• J. Sim*, C. E Park*, I. Cho*, K. Min, M. Eom, S. Han, H. Jeon, H.-J. Cho, E.-S. Cho, A. Kumar, Y. Chong, J. S. Kang, K. D. Piatkevich, E. E. Jung, D.-S. Kang, S.-K. Kwon, J. Kim, K.-J. Yoon, J.-S. Lee, E. S. Boyden, Y.-G. Yoon**, J.-B. Chang**, Nanoscale resolution imaging of the whole mouse embryos and larval zebrafish using expansion microscopy, bioRxiv, 2022. 

E-mail: jyy20422 at kaist.ac.kr

Website: https://sites.google.com/view/joshyou/

Short Biography

Josh is currently a master student at the Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST, supervised by Dr. Young-Gyu Yoon. He received his Bachelor of Science in Computer Engineering with high distinction at the University of Virginia, Charlottesville, VA, USA. After receiving his Bachelor’s degree, he worked as research engineer at the National Institute of Standards & Technology (NIST) in Gaithersburg, MD, USA through the NIST Professional Research Experience Program (PREP) with the University of Maryland, College Park. He is interested in applying computational methodologies such as machine learning and computer vision to understand neurological activity and behavior.

Publications

*co-first authors

• S. Han, J. Y. You, M. Eom, S. Ahn, E.-S. Cho, Y.-G. Yoon, From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy, Advanced Photonics Research, 2024.

E-mail: boku109 at kaist.ac.kr

Short Biography

Sungjin is a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degree in Electrical Engineering from KAIST in 2023.

Publications

*co-first authors

• S. Han, J. Y. You, M. Eom, S. Ahn, E.-S. Cho, Y.-G. Yoon, From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy, Advanced Photonics Research, 2024.

E-mail: eleksy25 at kaist.ac.kr

Short Biography

Soi is a master's student in Neuro-Instrumentation & Computational Analysis(NICA) lab at KAIST. She received her bachelor's degree in Electronic Engineering from Soongsil University in 2022. she worked as a research engineer at LIGNex1 from 2022 to 2023. She is interested in biomedical image computing and machine learning.

E-mail: joonpark2019 at kaist.ac.kr

Short Biography : Joon is a master's student in the Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degree in Electrical Engineering from KAIST in 2024. He is interested in computer vision and computational imaging. 

E-mail: hayeong2001 at kaist.ac.kr

Short Biography : Hayeong is a master's student in the Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. She received her bachelor's degree in Electrical Engineering and Computer Science from KAIST in 2024. She is interested in computer vision and its applications to biomedical images. 

Publications

*co-first authors

• H. Yu*, S. Han*, Y.-G. Yoon, Design Principles of Multi-Scale J-invariant Networks for Self-Supervised Image Denoising, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

E-mail: junmokane at kaist.ac.kr

Website: 

Short Biography

Junmo was a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degrees in Electrical Engineering and Computer Science from KAIST and his master’s degree in Electrical Engineering from KAIST. His research mainly focused on implementing bio-inspired AI using deep reinforcement learning. He also developed neural networks for analyzing calcium imaging data.

Publications

*co-first authors

• H. Kim*, S. Bae*, J. Cho, H.-Y. Nam, J. Seo, S. Han, E. Yi, E. Kim, Y.-G. Yoon**, J.-B. Chang**, IMPASTO : Multiplexed cyclic imaging without signal removal via self-supervised neural unmixing, bioRxiv, 2022. 

• J. Cho, D.-H. Lee, Y.-G. Yoon. Inducing Functions through Reinforcement Learning without Task Specification, Neural Information Processing Systems Workshop (NeurIPS Workshop) on Deep Reinforcement Learning, 2022.

• J. Cho*, S. Han*, E.-S. Cho, K. Shin, Y.-G. Yoon, Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

E-mail: scey26 at kaist.ac.kr

Website: 

Short Biography

Changyeop was a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST, supervised by prof. Young-Gyu Yoon. He received his bachelor’s degree in Electrical Engineering and Computer Science from GIST in 2017 and his master’s degree in Electrical Engineering from KAIST in 2022. He was a research officer of national defense at Agency for Defense Development (ADD) in 2017 - 2020. His research interests included biomedical image computing and machine learning with a focus on image reconstruction and domain adaptation.

Publications

*co-first authors

• C. Shin*, H. Ryu*, E.-S. Cho, S. Han, K.-H. Lee, C.-H. Kim, Y.-G. Yoon. Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network, Medical Image Analysis, 2022. 

• C. Shin*, H. Ryu*, E.-S. Cho,  Y.-G. Yoon. RLP-Net: A Recursive Light Propagation Network for 3-D Virtual Refocusing, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. 

E-mail: sbbae31 at kaist.ac.kr

Website: 

Short Biography

Seoungbin was a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degree in Cyber Defense from Korea University.

​

Publications

*co-first authors

• H. Kim*, S. Bae*, J. Cho, H.-Y. Nam, J. Seo, S. Han, E. Yi, E. Kim, Y.-G. Yoon**, J.-B. Chang**, IMPASTO : Multiplexed cyclic imaging without signal removal via self-supervised neural unmixing, bioRxiv, 2022.

E-mail: 520alsdud at kaist.ac.kr

Website:

Short Biography

Minyoung was a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. She received her bachelor's degrees in Electrical Engineering from Korea University in 2022.

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