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About

Hojin Gwak

๐Ÿ”‘ Keywords: Bioinformatics, Metagenomics, Microbiome, Machine Learning, Representation Learning

I currently focus on the computational representation of various biological materials (such as proteins, marker genes, and sequenced reads). Specifically, I try to adopt Deep-learning methods in the NLP field to the biological data.

Contact

๐Ÿ“ง [email protected]

๐Ÿ”— www.linkedin.com/in/hjgwak

๐Ÿ‘พ https://github.com/hjgwak

๐ŸŽ“ย https://scholar.google.com/citations?user=D-P6-b8AAAAJ&hl=ko


Affiliations

Postdoctoral researcher

Data mining & Bioinformatics LAB, Hanyang University, Seould, Republic of Korea - (Mar 2024 - Present)

Education

Integrated course of M.S./Ph.D. in Computer Science

Hanyang University, Seoul, Republic of Korea โ€“ (Mar 2017 - Feb 2024)

  • Advisor: Mina Rho, Ph.D.
  • Including Military Duty Period (Mar 2020 - Feb 2023)
  • Thesis: Representation Learning Applied to Taxonomy and Functional Classification in Computational Molecular Biology

B.S. in Computer Science

Hanyang University, Seoul, Republic of Korea โ€“ (Mar 2013 - Feb 2017)


Selected Publications

  1. J Cha, TG Kim, E Bhae, HJ Gwak, Y Ju, YH Choe, IH Jang, Y Jung, S Moon, T Kim, W Lee, JS Park, YW Chung, S Yang, YK Kang, YM Hyun, GS Hwang, WJ Lee, M Rho, JH Ryu, Skin microbe-dependent TSLP-ILC2 priming axis in early life is co-opted in allergic inflammation, Cell host & microbe, Volume 32, Issue 2, Feb 2024, https://doi.org/10.1016/j.chom.2023.12.006
  2. HJ Gwak, HA Lee, JY Jeong, Y Lee, M Rho, SH Cho, Antibiotic Sensitivity and Nasal Microbiome in Patients with Acute Bacterial Rhinosinusitis, The Laryngoscope, Volume 134, Issue 3, Aug 2023, https://doi.org/10.1002/lary.30950
  3. HJ Gwak, M Rho, ViBE: a hierarchical BERT model to identify eukaryotic viruses using metagenome sequencing data, Briefings in Bioinformatics, Volume 23, Issue 4, July 2022, bbac204, https://doi.org/10.1093/bib/bbac204
  4. HJ Gwak, SJ Lee, M Rho, Application of computational approaches to analyze metagenomic data, Journal of Microbiology, Volume 59, Issue 3, Mar 2021, https://doi.org/10.1007/s12275-021-063208
  5. HJ Gwak, M Rho, Data-Driven Modeling for Species-Level Taxonomic Assignment From 16S rRNA: Application to Human Microbiomes Frontiers in Microbiology, Volume 11, Nov 2020, https://doi.org/10.3389/fmicb.2020.570825
  6. YW Chung, HJ Gwak, S Moon, M Rho, JH Ryu, Functional dynamics of bacterial species in the mouse gut microbiome revealed by metagenomic and metatranscriptomic analysis, PLoS ONE, Volume 15, Issue 1, Jan 2020, e0227886, https://doi.org/10.1371/journal.pone.0227886
  7. SJ Choi, Y Kim, J Jeon, HJ Gwak, M Kim, K Kang, Y Kim, J Jeong, YK Jung, KG Lee, HS Choi, DH Jung, SG Lee, Y Lee, SJ Shin, K Jang, M Rho, D Choi, Association of microbial dysbiosis with gallbladder diseases identified by bile microbiome profiling, Journal of Korean medical science, Volume 36, Issue 28, July 2021, https://doi.org/10.3346/jkms.2021.36.e189

Awards and Honors

Outstanding Dissertation Award

Department of Computer Science, Hanyang University, 2024