About Me
I develop advanced computational methods to uncover how biological systems and cellular processes operate, with the goal of identifying disease mechanisms that inform new therapeutic strategies and improve human health.
Experience
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Scientist, Lunit Inc.
Jun 2024 – PresentDeveloping integrative AI models for cancer histopathology image analysis using spatial transcriptomics data to support translational oncology research initiatives.
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Graduate Student Researcher, Johns Hopkins University
Sep 2018 – May 2024I developed computational methods to decipher the regulatory genome and collaborated to functionally characterize the human and mouse genomes, hoping these findings will advance the diagnosis and treatment of complex diseases such as cancer.
Education
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Ph.D. in Biomedical Engineering, Johns Hopkins University (Thesis)
2018 – 2024 -
M.S. in Biomedical Engineering, Johns Hopkins University
2017 – 2018 -
B.S. Biomedical Engineering & Applied Mathematics and Statistics, Johns Hopkins University
2013 – 2017
Other Training
- Consortium trainee, IGVF (Impact of Genomic Variation on Function), 2022–2024.
- Consortium trainee, ENCODE (Encyclopedia of DNA Elements), 2018–2024.
Awards & Honors
- The Mette Strand Young Investigator Award, Johns Hopkins School of Medicine, 2024.
- Reviewer’s Choice Top Abstract Award, American Society of Human Genetics, 2023.
- IGVF Consortium Poster Award, IGVF Consortium, 2022.
- ENCODE Consortium Team Science Award, ENCODE Consortium, 2022.
- David T. Yue Memorial Award for Teaching Excellence, Johns Hopkins University, 2017.
Leadership & Service
- Review Editor, Frontiers in Epigenetics and Epigenomics Nov 2024 – Present (Loop Profile)
- President, Korean Graduate Student Association (KGSA), Johns Hopkins University Sep 2019 – Jun 2020 (Article)
Interviews
Publications
- Jin Woo Oh & Michael A Beer. “Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammals.” Nature Communications (2024)
- Jin Woo Oh*, David Yao*, Josh Tycko*, Lexi R Bounds*, Sager J Gosai*, Lazaros Lataniotis*, Ava Mackay Smith, Benjamin R Doughty, Idan Gabdank, Henri Schmidt, Ingrid Youngworth, Kalina Andreeva, Xingjie Ren, Alejandro Barrera, Yunahi Luo, Keith Siklenka, Galip Gurkan Yardimci, Ryan Tewhey, Anshul Kundaje, William J Greenleaf, Pardis C Sabeti, Christina Leslie, Yuri Pritykin, Jill E Moore, Michael A Beer, Charles Gersbach, Timothy E Reddy, Yin Shen, Jesse M Engreitz, Michael C Bassik, Steven K Reilly. “Multicenter integrated analysis of noncoding CRISPRi screens.” Nature Methods (2024)
- Renhe Luo, Jielin Yan, Jin Woo Oh, Wang Xi, Dustin Shigaki, Wilfred Wong, Hyein S Cho, Dylan Murphy, Ronald Cutler, Bess P Rosen, Julian Pulecio, Dapeng Yang, Rachel A Glenn, Tingxu Chen, Qing V Li, Thomas Vierbuchen, Simone Sidoli, Effie Apostolou, Danwei Huangfu, Michael A Beer. “Dynamic network-guided CRISPRi screen identifies CTCF-loop-constrained nonlinear enhancer gene regulatory activity during cell state transitions.” Nature Genetics (2023)
- IGVF. “Deciphering the impact of genomic variation on function.” Nature (2024)
- Jin Woo Oh. “Enhanced Algorithms to detect and characterize conserved regulatory sequences.” Johns Hopkins University (2024)
Published Abstracts
- Jin Woo Oh, Sanghoon Song, Soohyun Hwang, Mingu Kang, Jinhee Lee, Sergio Pereira, Hyunsu Kim, Sehhoon Park, Junhun Cho, Se-Hoon Lee, Han-Sin Jeong, Chang Ho Ahn, Siraj M Ali, Chan-Young Ock, Myung-Ju Ahn. “A novel single-cell level approach integrating artificial intelligence (AI)–powered histomorphology labeling and spatial transcriptomics enables biomarker identification of treatment resistance in salivary gland cancer (SGC).” Proceedings of the AACR (2025)
- Hyunsu Kim, Sehhoon Park, Jin Woo Oh, Soohyun Hwang, Jinyoung Kim, Eun-hye Kim, Nayeon Choi, Junhun Cho, Hyun-Ae Jung, Dongryul Oh, Se-Hoon Lee, Yong Chan Ahn, Han-Sin Jeong, Chang Ho Ahn, Chan-Young Ock, Myung-Ju Ahn. “Exploratory analysis of tumor microenvironment using scRNA, scTCR, and spatial transcriptomics in salivary gland cancer with surgical sample after neoadjuvant immuno-chemotherapy.” Proceedings of the AACR (2025)
- Seungeun Lee, Jin Woo Oh, Soohyun Hwang, Jeanne Shen, Sehhoon Park, Hyojin Kim, Young Kwang Chae, Se-Hoon Lee, Yoon-La Choi, Jin-haeng Chung, Jaewoong Shin, Heon Song, Aaron Valero Puche, Donggeun Yoo, Taebum Lee, Chiyoon Oum, Jeongmi Kim, Siraj M Ali, Chan-Young Ock. “Deep learning–powered H&E whole-slide image analysis of endothelial cells to characterize tumor vascular environment and correlate treatment outcome to immunotherapy.” Journal of Clinical Oncology (2025)
Poster Presentations
- “A novel single-cell level approach integrating AI–powered histomorphology labeling and spatial transcriptomics enables biomarker identification of treatment resistance in salivary gland cancer (SGC).” AACR, 2025.
- “Functional characterization of the mammalian genome.” ASHG, 2023.
- “Gapped-kmer based machine learning and sequence alignment identify conserved regulatory vocabularies and enhancers in evolutionarily distant mammals.” IGVF Consortium Meeting, 2022.
- “Identifying subsets of cell-specific regulatory sequence features from heterogeneous tissue-specific chromatin state data using predictive gapped k-mer features.” Cold Spring Harbor Lab – Biology of Genomes, 2019.
- “Identifying subsets of cell-specific regulatory sequence features from heterogeneous tissue-specific chromatin state data using predictive gapped k-mer features.” ENCODE Consortium Meeting, 2019.
Invited Talks
- “Multi-center integrative analysis of non-coding CRISPR screens.” ENCODE Consortium Meeting, 2022.
- “Sequence alignment using gapped-kmer features identifies conserved orthologous mammalian enhancers with high precision.” ENCODE Consortium Meeting, 2021.