경력
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Scientist(연구원), Lunit Inc.
2024.06 – 현재- 오픈소스 바이오메디컬 파운데이션 모델 의 과학 전략·연구 로드맵 수립에 바이오메디컬 도메인 전문성으로 핵심 기여(모델 학습·평가를 위한 멀티모달 데이터셋 개발·큐레이션 포함).
- 제약 파트너와 협업해 종양 미세환경(TME) Spatial AI 분석 기반의 치료 표적 및 바이오마커 발굴.
- H&E 염색 이미지와 공간 전사체(Spatial Transcriptomics)를 통합하는 형태학 기반(morphology-guided) 분석 프레임워크 개발 및 적용(치료 저항성 관련 주요 기전 및 표적 후보 도출).
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박사과정 연구원(Graduate Student Researcher), Johns Hopkins University (포스터)
2018.09 – 2024.05- Johns Hopkins School of Medicine Young Investigator Day에서 Mette Strand Young Investigator Award 수상.
- 조절 유전체 정렬을 위한 고성능 C++ 소프트웨어 gkm-align의 수학적 정식화를 도출하고, SIMD 가속 핵심 커널을 설계·구현.
- 유전자 조절 요소의 기능적 원리를 계산 모델링으로 규명하여, 염기서열과 기능의 연관성 제시.
- 서열 기반 머신러닝과 비교유전체학을 결합해 조절 요소의 진화 동역학 분석 및 보존 서열의 기능적 근거 제시.
학력
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박사(Ph.D.) 생체의공학(Biomedical Engineering), Johns Hopkins University (학위논문)
2018 – 2024 -
석사(M.S.) 생체의공학(Biomedical Engineering), Johns Hopkins University
2017 – 2018 -
학사(B.S.) 생체의공학(Biomedical Engineering) · 응용수학 및 통계학(Applied Mathematics and Statistics), Johns Hopkins University
2013 – 2017
수상
- 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.
대표 그림
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Morphology-guided Spatial AI (JITC 2025)
AI cell typing validated by Xenium ST markers.
Conserved Enhancer Detection (Nature Commun. 2024)
Orthologous enhancer mapping using gkm-align algorithm.
Algorithm Performance Optimization (Ph.D. Thesis 2024)
SIMD-accelerated computational kernel for gkm-align.
기술
프로그래밍 · HPC 최적화
Python, C++ (Low-level Optimization, AVX2 SIMD Intrinsics, Multi-threading), R, Bash / Shell Scripting
알고리즘 설계 · 생물정보학
Algorithm Design & Implementation (gkm-align)
(GitHub)
Bioinformatics tools (e.g., Bowtie, MACS2), Scalable Computational Genomics Pipeline Design
Bioinformatics tools (e.g., Bowtie, MACS2), Scalable Computational Genomics Pipeline Design
HPC · 시스템
Slurm Workload Manager, Linux / Unix Utilities, Docker, High-Performance Computing (HPC) Environments
리더십·대외활동
- 리뷰 에디터(Review Editor), Frontiers in Epigenetics and Epigenomics 2024.11 – 현재 (프로필)
- 조교(Teaching Assistant), Johns Hopkins University 2016.09 – 2022.12 — 통계역학 및 열역학(Statistical Mechanics & Thermodynamics), 이산수학(Discrete Math), 시퀀스 분석 (Computational Genomics), 바이오메디컬 데이터사이언스 등 수리·통계 기반 과목 지도.
- 회장(President), Korean Graduate Student Association (KGSA), Johns Hopkins University 2019.09 – 2020.06 (기사)
인터뷰
논문
(* 공동 제1저자)
존스홉킨스 (2018–2024)
- 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)
- David Yao*, Josh Tycko*, Jin Woo Oh*, Lexi R Bounds*, Sager J Gosai*, Lazaros Lataniotis*, Ava Mackay-Smith, Benjamin R Doughty, Idan Gabdank, Henri Schmidt, Tania Guerrero-Altamirano, Keith Siklenka, Katherine Guo, Alexander D. White, Ingrid Youngworth, Kalina Andreeva, Xingjie Ren, Alejandro Barrera, Yunhai Luo, Galip Gürkan Yardımcı, 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 Consortium. "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)
루닛 (2024–현재)
- Yeong Hak Bang*, Geun-Ho Park*, Jin Woo Oh*, Soohyun Hwang, Jun-Gi Jeong, Boram Lee, Cheol Yong Joe, Hyemin Kim, Jinyong Kim, Sehhoon Park, Hyun Ae Jung, Jong-Mu Sun, Jin Seok Ahn, Myung-Ju Ahn, Yoon-La Choi, Chang Ho Ahn, Siraj M. Ali, Chan-Young Ock, Se-Hoon Lee. "Artificial intelligence-powered spatial analysis of tumor microenvironment in patients with non-small cell lung cancer with acquired resistance to EGFR tyrosine kinase inhibitor." Journal for ImmunoTherapy of Cancer (2025)
- Hyunchul Kim, Jinhyung Heo, Soo Ick Cho, Beodeul Kang, Jung Sun Kim, Chan Kim, Chang Il Kwon, Min Je Sung, Seok-Pyo Shin, Seok Jeong Yang, Incheon Kang, Sung Hwan Lee, Chansik An, Seungeun Lee, Jin Woo Oh, Hee Yeon Kay, Jiwon Shin, Taebum Lee, Sanghoon Song, Sukjun Kim, Heon Song, Sergio Pereira, Gwangil Kim, Hong Jae Chon. "Pathologist-Artificial Intelligence Concordance in HER2 Interpretation for Advanced Biliary Tract Cancer: Intraobserver, Interobserver, and Human-Artificial Intelligence Variability." Laboratory Investigation (2025)
- Gwangil Kim, Beodeul Kang, Jung Yong Hong, Haeyoun Kang, Jung Sun Kim, Sohyun Hwang, Sung Hwan Lee, Sang Hoon Jung, Chansik An, Won Suk Lee, Chiyoon Oum, Gahee Park, Mingu Kang, Yoojoo Lim, Jin Woo Oh, Siraj M. Ali, Chan-Young Ock, Chan Kim, Ho Yeong Lim, Hong Jae Chon. "Differential implications of tumor endothelial cell and lymphocyte densities in advanced hepatocellular carcinoma patients treated with immunotherapy." npj Precision Oncology (2025)
학회 초록
- 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)
포스터 발표
존스홉킨스 (2018–2024)
- "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.
루닛 (2024–현재)
- "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.
초청 강연
- “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.