Jiang Li

Jiang Li Ph.D.

Research Assistant Professor

Institute of Cell and Gene Technology, Shenzhen University of Advanced Technology

Biography

Dr. Jiang Li is currently a Research Assistant Professor at the Institute of Cell and Gene Technology, Shenzhen University of Advanced Technology. He received his Ph.D. in Biomedical Sciences from the City University of Hong Kong in 2024, with a visiting scholarship at the City of Hope National Medical Center in the United States. His research focuses on the core framework of artificial intelligence and multi-omics big data, conducting systematic studies on cancer precision subtyping, non-coding RNA regulatory mechanisms, and clinical translation. He is dedicated to developing bioinformatics tools and pan-cancer databases for tumor diagnosis and prognosis. He has published 11 SCI and conference papers as first author or corresponding author (including co-authorship) in journals such as Nucleic Acids Research (2020, 2026), iScience (2025), Clinical & Experimental Allergy (2026), International Immunopharmacology (2025), Computational and Structural Biotechnology Journal (2022, 2024), and STAR Protocols (2025). He also serves as a reviewer for MedComm and other journals.

Education

  • 2020.9 – 2024.8

    Ph.D., Cancer Bioinformatics

    Department of Biomedical Sciences, City University of Hong Kong, HKSAR

    Supervisor: Prof. Xin Wang (Department of Surgery, CUHK)

    Prof. Rebecca Y. CHIN (Department of Biomedical Sciences, CityUHK)

  • 2022.7 – 2023.1

    Visiting Scholar, Global Scholar Program

    Department of Molecular Diagnostics and Experimental Therapeutics, City of Hope National Medical Center, Los Angeles, USA

    Supervisor: Prof. Ajay Goel (Chair & Distinguished Professor)

  • 2017.9 – 2020.7

    M.Sc., Bioinformatics

    College of Informatics, Huazhong Agricultural University, Wuhan, China

    Supervisor: Prof. Hong-Yu Zhang

  • 2018.7 – 2018.8

    Visiting Student, Summer Workshop Program

    School of Computing, National University of Singapore, Singapore

  • 2013.9 – 2017.7

    B.Sc., Biological Sciences

    College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China

Research Experience

  • 2026.04 – Present

    Research Assistant Professor

    Institute of Cell and Gene Technology

    Shenzhen University of Advanced Technology

  • 2024.11 – 2026.04

    Assistant Research Fellow

    Clinical Big Data Research Center

    The Seventh Affiliated Hospital of Sun Yat-sen University (Shenzhen)

Publications

Co-first

Li J#, Hong X#, Chi M et al.

Circulating Piwi-interacting RNAs Associate with Childhood Asthma ICS Response with Vitamin D Effect Modification.

Clinical & Experimental Allergy, 2026

Co-first

Huang R#, Li J#, Cao Q#, Wang L#, Shao Z et al.

PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers.

Nucleic Acids Research, 2026; 54(D1): D1545–D1555

Co-first

Li J#, Yang C#, Zhang Y et al.

Deciphering aging-associated prognosis and heterogeneity in gastric cancer through a machine learning-driven approach.

iScience, 2025; 28: 112316

Co-first

Li J#, Yang C#, Zhang Y et al.

Leveraging miRNA-mediated expression profiles to predict prognosis and identify distinct molecular subtypes in ovarian cancer: a multi-cohort study.

International Immunopharmacology, 2025; 150: 114303

First Author

Li J, Hong X, Zhu Z, Li J.

Protocol for tumor prognostic prediction, molecular stratification, and target discovery using a machine learning-driven approach.

STAR Protocols, 2025; 6(4): 104130

Corresponding

Zhu Z, Cao Q, Chen J, Sun Y, Liu F, Li J*, Tan M*.

Expression pattern of cancer-associated cellular senescence genes in clear cell renal cell carcinoma distinguishes tumor subclasses with clinical implications.

Scientific Reports, 2025; 15(1): 442

Collaborative

Jiang M#, Zhang Y#, Liu T#, Hong X#, Kho AT, Li J, et al.

Circulating miRNAs and childhood asthma ICS response: a stratified analysis in the intervention arm of an RCT with vitamin D effect modification.

Thorax, 2025; 80(11): 788–795

First Author

Li J, He L, Zhang X et al.

GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer.

Computational and Structural Biotechnology Journal, 2024; 23: 752–758

R Package
First Author

Li J, Song K, Li X et al.

Identification of subtype-specific master regulatory long non-coding RNAs of gastric cancer through a network-based approach.

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye. 2023; pp. 2777–2782

Collaborative

Okuno K, Pratama MY, Li J, Tokunaga M, et al.

Ginseng mediates its anti-cancer activity by inhibiting the expression of DNMTs and reactivating methylation-silenced genes in colorectal cancer.

Carcinogenesis, 2023; 44: 394–403

First Author

Li J, Wu T, Song K et al.

Integrative network analysis reveals subtype-specific long non-coding RNA regulatory mechanisms in head and neck squamous cell carcinoma.

Computational and Structural Biotechnology Journal, 2022; 21: 535–549

Collaborative

Tian Y, Li J, Cheung TC et al.

Akt3 promotes cancer stemness in triple-negative breast cancer through YB1-Snail/Slug signaling axis.

Genes & Diseases, 2022; 10: 301–306

First Author

Li J, Xue Y, Amin MT, et al.

ncRNA-eQTL: a database to systematically evaluate the effects of SNPs on non-coding RNA expression across cancer types.

Nucleic Acids Research, 2020; 48(D1): D956–D963

First Author

Li J, Tong XY, Zhu LD, Zhang HY.

A Machine Learning Method for Drug Combination Prediction.

Frontiers in Genetics, 2020; 11: 1000

Collaborative

Quan Y#, Luo ZH#, Yang QY#, Li J, et al.

Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease Associated Genes as Drug Candidates.

Frontiers in Genetics, 2019; 10: 474

Patents & Software Copyrights

A Drug Activity Prediction Method and Its Application

Invention Patent, ZL201710769899.7, Patentee (Rank 4/7), CNIPA

GCclassifier: R-based Gastric Cancer Molecular Subtype Prediction Platform

2026SR0082562, Copyright Holder (Rank 1/3), NCAC

COMPSRA: Java-based miRNA Data Analysis Platform

2025SR2014194, Copyright Holder (Rank 3/3), NCAC

Deep-eccScan: Deep Learning-based Extrachromosomal Circular DNA Detection Software

2025SR2477308, Copyright Holder (Rank 3/3), NCAC