Gene2AI Genomic AI Technology
Our mission is to revolutionize precision medicine through the seamless integration of genomics and artificial intelligence.
Our Vision
To transform biological research by harnessing the power of artificial intelligence, enabling deeper insights into cellular mechanisms and accelerating breakthroughs in health and medicine.
At Gene2AI, we revolutionize biological research by integrating cutting-edge artificial intelligence with complex omics data.
Publications
Our research has been published in leading scientific journals
Integrating prior knowledge using transformer for gene regulatory network inference
Weng G, Kim H, Martin P, Won KJ (2025)
Advanced Science, e2409990PMID: 39605181
Neighbor-specific gene expression revealed from physically interacting cells during mouse embryonic development
Kim J, Rothova MM, Madan E, Rhee S, Weng G, Palma AM, Liao L, David E, Amit I, Hajkarim M, Vudatha V, Gutierrez-Garcia A, Moreno E, Winn R, Trevino J, Fisher P, Brickman JM*, Gogna R*, Won KJ* (2023)
Proceedings of the National Academy of Sciences (PNAS), 120(2), e2205371120
Comprehensive and unbiased multiparameter high-throughput screening by compaRe finds effective and subtle drug responses in AML models
Hajkarim C, Karjalainen E, Osipovitch M, Dimopoulos KD, Gordon S, Ambri F, Rasmussen K, Gronbek K, Helin K, Wennerberg K*, Won KJ* (2022)
eLife, 2022;11:e73760PMID: 35166670
Detecting cell contact-dependent gene expression from spatial transcriptomics data
Kim H, Kumar A, Lovkvist C, Palma AM, Martin PC, Kim J, Bhoopathi P, Trevino J, Fisher P, Madan E, Gogna R*, Won KJ* (2023)
Molecular Systems Biology, e11670PMID: 37815040
Vesalius: Tissue anatomy from image processing over spatial transcriptomic data
Martin PC, Lovkvist C, Hong BW, Won KJ* (2022)
Molecular Systems Biology, 18:e11080PMID: 36065846
SHARP: Single-cell RNA-seq hyper-fast and accurate processing via random projection
Wan S, Kim J, Won KJ (2020)
Genome Research, 30(2):205-213PMID: 31992615
Join us in shaping the future of precision medicine
Contact
Kyoung Jae Won: kjwon@gene2ai.net
Research Collaborations
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Career Opportunities
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Technology Inquiries
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