Publications

Oh HC, Chang Y, Park J, Cheong Y, Lee KS, Han H, Kim HH. High-resolution functional mapping of androgen receptor variants. Nat Biomed Eng. 2026 Apr 6. doi: 10.1038/s41551-026-01647-1. Epub ahead of print. PMID: 41942549.
Cheong Y, Choi Y, Kim HK, Kim HH. DeepPrime7: Predicting PE7 Prime Editing Efficiency Across PAM Variants. ICLR 2026 Workshop on Generative and Experimental Perspectives for Biomolecular Design.
Lee KS, Min JG, Cheong Y, Oh HC, Jung SY, Park JI, Song M, Seo JH, Cho SR, Kim HH. Functional assessment of all ATM SNVs using prime editing and deep learning. Cell. 2025 Sep 4;188(18):5081-5099.e27. doi: 10.1016/j.cell.2025.05.046. Epub 2025 Jun 27. PMID: 40580951.
Yu G, Kim HK, Park J, Kwak H, Cheong Y, Kim D, Kim J, Kim J, Kim HH. Prediction of efficiencies for diverse prime editing systems in multiple cell types. Cell. 2023 May 11;186(10):2256-2272.e23. doi: 10.1016/j.cell.2023.03.034. Epub 2023 Apr 28. PMID: 37119812.

Research and AI Projects

Medical AI Research Society (YUCM student club) | Team leader 2022

Designed and delivered the MARS PyTorch Tutorial lecture.
Led team project Understanding EEG to predict individualized VNS treatment effects in epileptic seizure patients.

Digital Health Hackathon 2021 | Team leader 2021

Participated in a challenge to identify 10 genes with a causal relationship to treatment effectiveness from a pool of 300 hypothetical genes.
Proposed a method to leverage an MLP to identify the causal relationship between gene expression and treatment response.