Rchr
J-GLOBAL ID:201901003364183466   Update date: Aug. 02, 2024

Lee Seohyun

イ ソヒョン | Lee Seohyun
Affiliation and department:
Job title: Assistant Professor
Research field  (3): Systems genomics ,  Computational science ,  Biophysics
Research keywords  (6): Epigenetics ,  Natural Language Processing ,  Bioinformatics ,  Biomedical imaging ,  Machine Learning ,  Biophysics
Research theme for competitive and other funds  (3):
  • 2021 - 2025 Dynamic behavior and pathological significance of small RNA in outer membrane vesicles of periodontopathic bacteria
  • 2020 - 2023 Development of cell image data analysis method for highly accurate 3D vesicle movement detection based on computer vision techniques
  • 2019 - 2021 Understanding the intracellular transport of endosomes using machine learning approach
Papers (21):
  • Seohyun Lee, Che Lin, Chien-Yu Chen, Ryuichiro Nakato. ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach. bioRxiv. 2024
  • Luis Augusto Eijy Nagai, Seohyun Lee, Ryuichiro Nakato. Protocol for identifying differentially expressed genes using the RumBall RNA-seq analysis platform. STAR protocols. 2024. 5. 1. 102926-102926
  • Hyuno Kim, Seohyun Lee, Yuji Yamakawa. Direct face pose estimation using multiple camera views and deep learning. Proceedings of SPIE - The International Society for Optical Engineering. 2023. 12438
  • Seohyun Lee, Hyuno Kim, Hideo Higuchi. Automation of detecting and tracking 3D vesicle transport using dual-focus optics. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2023. 12385
  • Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa, Ryuichiro Natato. A Generative Adversarial Network Approach to Metastatic Cancer Cell Images. 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings. 2022. 403-406
more...
Education (3):
  • 2014 - 2018 The University of Tokyo Graduate School of Science, Dept. of Physics Ph.D.
  • 2012 - 2014 The University of Tokyo Graduate School of Science, Dept. of Physics M.S.
  • 2002 - 2007 Ewha Womans University , College of Natural Science, Department of Physics B.S.
Work history (5):
  • 2024/04 - 現在 The University of Tokyo Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies Assistant professor
  • 2021/10 - 2024/03 The University of Tokyo Institute for Quantitative Biosciences Project Assistant Professor
  • 2020/04 - 2021/10 The University of Tokyo Information Technology Center Project Researcher
  • 2018/11 - 2020/03 The University of Tokyo Graduate School of Information Science and Technology Project Researcher
  • 2007/07 - 2009/06 SK hynix Advanced Design Team Research Engineer
Awards (1):
  • 2023/09 - 第12回生命医薬情報学連合大会(IIBMP2023) 優秀ポスター発表 ChromBERT: Identifying Chromatin State Patterns in Human Genome via BERT Techniques
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