From 7d2d0ef6f115026cb3dd50071f75d621b77c6fc6 Mon Sep 17 00:00:00 2001 From: Hyun-Hwan Jeong Date: Thu, 4 Jun 2026 08:16:52 -0500 Subject: [PATCH] chore(team): remove Hyun-Hwan Jeong from team members --- src/content/team/ap-hyun-hwan-jeong.md | 17 ----------------- 1 file changed, 17 deletions(-) delete mode 100644 src/content/team/ap-hyun-hwan-jeong.md diff --git a/src/content/team/ap-hyun-hwan-jeong.md b/src/content/team/ap-hyun-hwan-jeong.md deleted file mode 100644 index cc4888c..0000000 --- a/src/content/team/ap-hyun-hwan-jeong.md +++ /dev/null @@ -1,17 +0,0 @@ ---- -name: "Hyun-Hwan Jeong" -role: "Assistant Professor" -title: ["Assistant Professor"] -avatar: "../../assets/hyun-hwan-jeong.jpg" -bio: "Assistant Professor specializing in computational biology, bioinformatics tool development, and large-scale genomic data analysis" -email: "hyun-hwan.jeong@bcm.edu" -linkedin: "https://www.linkedin.com/in/hyunhwan-jeong/" -github: "https://github.com/hyunhwan-bcm" -googleScholar: "https://scholar.google.com/citations?user=RHsMwPUAAAAJ&hl=en" -weight: 2 ---- -Dr. Hyun-Hwan Jeong is an Assistant Professor specializing in computational biology and bioinformatics. His research focuses on developing innovative computational tools and pipelines for analyzing large-scale genomic data, with particular expertise in transposable element analysis, CRISPR screening, RNA-seq data processing, and single-cell genomics. He is committed to creating user-friendly, scalable bioinformatics solutions that enable the broader research community to extract meaningful biological insights from complex next-generation sequencing data. - -Dr. Jeong's notable contributions include **SalmonTE**, an ultra-fast pipeline for quantifying transposable elements from RNA-seq data that achieved 20x faster speed compared to existing methods, and **CRISPRcloud**, a secure cloud-based platform for CRISPR pooled screen analysis. His work bridges computational innovation with biological discovery, focusing on making advanced analytical methods accessible through well-documented, open-source software. - -His research has contributed to understanding the role of transposable elements in neurodegenerative diseases, developing computational methods for cryptic splicing analysis, and advancing CRISPR screening technologies. Dr. Jeong collaborates extensively with experimental biologists and clinicians to ensure his computational tools address real-world research needs in genomics and precision medicine.