Gaoyang LUO

Gaoyang LUO

AI4Science Researcher | Microbiome & Medecine @ University of New South Wales & Westlake University. Passionate about Machine Learning, and their applications in solving real-world microbiome problems.

About

I’m now a PhD student in Medicine at Microbiome Research Center, University of New South Wales. Under supervision by Prof. Emad El-Omar and Dr. Xiaotao Jiang. Focuing on AMR problem in large cohort of Austrilian population.

I’m also long-term visiting reseracher from 2024 at Center for Artificial Intelligence Research and Innovation (CAIRI AI Lab), led by Prof. Stan Z. Li and Environmental Science and Engineering Environmental Microbiome and Biotechnology Laboratory (EMBLab), led by Dr. Feng Ju. There I am engaging with AI for Science (AI4Sci), particularly on RNA virus indentification and microbial language model. I was also honored to be a intern student and research assistant udner supervision by Dr. Yu Li at The Chinese University of Hong Kong (CUHK) from 2022 to 2023, where I stared my journey on AI4Science.

Research Interests

  1. Biological Foundation model (DNA, RNA, Amino acids).
  2. Antimicrobial resistance
  3. AI in identification RNA virus.

Education

  • 2025.05 - Present Ph.D at University of New South Wales (UNSW)
  • 2020.09 - 2023.06 M.Phil at Harbin Institute of Technology (HIT)
  • 2016.09 - 2020.06 B.sc at Jilin Agricultural University (JLAU)

Internship

  • 2025.05 - present Visiting scholoar at CAIRI and EMBLab, Westlake University
  • 2024.01 - 2025.05 Research assistant at CAIRI and EMBLab, Westlake University (Full time)
  • 2023.09 - 2025.05 Research intern at UNSW Microbiome Research Center, Univeristy of New South Wales (UNSW)
  • 2022.12 - 2023.08 Research intern and research assistant in AI for Healthcare Group at The Chinese University of Hong Kong (CUHK).

Publication & Software

Representative publications (including preprint and under preparation)

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📄 CompRanking: a pipeline for quantitatively ranking the risk antimicrobial resistance in environmental metagenomic samples

Authors: Gaoyang Luo

Software: Open-sourced

This pipeline is used to quantitatively ranking AMR risk in environmental metagenomic samples

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📄 Determining Antimicrobial Resistance in the Plastisphere: Lower Risks of Nonbiodegradable vs Higher Risks of Biodegradable Microplastics

Authors: Gaoyang Luo, Lu Fan, Bin Liang, Jianhua Guo, Shu-Hong Gao*

Journal Article: Environmental Science & Technology, 2025 (Nature Index Journal, Q1 Top)

Quantifing the AMR risk in the plastisphere

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📄 Determining the Contribution of Micro/Nanoplastics to Antimicrobial Resistance: Challenges and Perspectives

Authors: Gaoyang Luo, Bin Liang, Hanlin Cui, Yuanyuan Kang, Xu Zhou, Yu Tao, Lu Lu, Lu Fan, Jianhua Guo, Aijie Wang, *Shu-Hong Gao*

Journal Article: Environmental Science & Technology, 2023 (Nature Index Journal, Q1 Top)

Review of AMR risk in the plastisphere

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📄 Expanding the RNA Virus Universe by Deep Learning Discovery

Authors: Gaoyang Luo#, Zelin Zang#, Ling Yuan, Jingbo Zhou, Ao Dong, Yufei Huang, Stan Z. Li, Feng Ju*

Journal Artile: BioRxiv

Identification of RNA virus using Deep Learning

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📄 Rider: A deep learning method for fast RNA identification

Authors: Gaoyang Luo

Software: Open-sourced

Identification of RNA virus using deep learning