Duncan NRI Hyun-Hwan Jeong, PhD
Assistant Professor, Department of Pediatrics, Baylor College of Medicine
Principal Investigator, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital
Contact Information:
Email: Hyun-Hwan.Jeong@bcm.edu
Research focus
The Jeong Lab utilizes computational, statistical, and artificial intelligence approaches for integrating genomic, transcriptomic, and other multi-omics data with large-scale multi-modal real-world data (RWD) to advance disease discovery, diagnosis, and precision medicine.
Get to know Hyun-Hwan Jeong, PhD
The Jeong Lab develops computational, statistical, and artificial intelligence approaches to understand and diagnose human disease. Building on expertise in computer science, transcriptomics, and next-generation sequencing-based genomics, the lab creates scalable algorithms and software platforms that transform large-scale biomedical data into biological and clinical insight.
The lab’s work spans CRISPR screen analysis, transposable element quantification, multi-omics integration, electronic health record analysis, and rare disease gene prioritization. Current efforts are expanding into biomedical artificial intelligence, including diagnostic foundation models, multimodal AI, and language-aware systems that integrate molecular profiles, clinical phenotypes, electronic health records, real-world data, and biomedical knowledge.
Through tools such as CRISPRcloud, SalmonTE, LA-MARRVEL, and MARRVEL-MCP, the lab aims to build robust, interpretable, and clinically useful systems that support precision medicine and accelerate discovery across rare disease, neurological disease, and human health.
2023 - Recognition Award, Precede Biosciences
2019 - TMC Biomedical Faculty Award, Korean-American Biomedical Scientists Symposium
2008-2009 - First Place, Java Algorithm Contest, SUN Microsystems
2007 - Sixth place, ACM-ICPC Asia Taipei Regional Contest
Everton Z, Botas J, Kim SY, Yao L, Liu Z, and Jeong H-H. MARRVEL-MCP: An agentic interface for Mendelian disease discovery via tool-augmented context engineering. The American Journal of Human Genetics (In Press).
Jeong H-H, Liu Z. Are HHV-6A and HHV-7 Really More Abundant in Alzheimer’s Disease? Neuron. 2019.
Jeong H-H, Kim SY, Rousseaux MWC, Zoghbi HY, Liu Z. Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives. Genome Research. 2019.
Guo C, Jeong H-H, Hsieh Y-C, Klein H-U, Bennett DA, De Jager PL, Liu Z, Shulman JM. Tau Activates Transposable Elements in Alzheimer’s Disease. Cell Reports. 2018.
Jeong H-H, Yalamanchili HK, Guo C, Shulman JM, Liu Z. An ultra-fast and scalable quantification pipeline for transposable elements from next-generation sequencing data. Biocomputing. 2018.
Jeong H-H, Kim SY, Rousseaux MWC, Zoghbi HY, Liu Z. CRISPRcloud: a secure cloud-based pipeline for CRISPR pooled screen deconvolution. Bioinformatics. 2017.
