个人简介
李姜博士，现任深圳理工大学细胞与基因技术研究院科研助理教授。2024年获香港城市大学生物医学系博士学位，博士期间赴美国City of Hope希望之城国家医疗中心访学。研究方向主要以人工智能与多组学大数据为核心技术框架，围绕癌症精准分型、非编码RNA调控机制及临床转化开展系统性研究，致力于开发面向肿瘤诊断与预后的生物信息学工具与跨癌种数据库。目前以第一作者或通讯作者（含共同）身份在 Nucleic Acids Research（2020, 2026）、iScience（2025）、Clinical & Experimental Allergy（2026）、International Immunopharmacology（2025）、Computational and Structural Biotechnology Journal（2022, 2024）、STAR Protocols（2025）等期刊发表SCI以及会议论文11篇，并且担任MedComm等杂志审稿人。
教育背景
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2020.9 – 2024.8
博士，癌症生物信息
导师： 王鑫 副教授（香港中文大学外科系）
钱玥明 副教授（香港城市大学生物医学系）
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2022.7 – 2023.1
访问学者，全球学者计划
导师：Ajay Goel 教授（首席教授，系主任）
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2017.9 – 2020.7
硕士，生物信息
导师：张红雨 教授
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2018.7 – 2018.8
访问学生，暑期研讨会项目
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2013.9 – 2017.7
学士，生物科学
工作经历
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2026.04 – 至今
科研助理教授
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2024.11 – 2026.04
助理研究员
论文成果
Circulating Piwi-interacting RNAs Associate with Childhood Asthma ICS Response with Vitamin D Effect Modification.
Clinical & Experimental Allergy, 2026
PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers.
Nucleic Acids Research, 2026; 54(D1): D1545–D1555
Deciphering aging-associated prognosis and heterogeneity in gastric cancer through a machine learning-driven approach.
iScience, 2025; 28: 112316
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
Protocol for tumor prognostic prediction, molecular stratification, and target discovery using a machine learning-driven approach.
STAR Protocols, 2025; 6(4): 104130
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
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
GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer.
Computational and Structural Biotechnology Journal, 2024; 23: 752–758
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
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
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
Akt3 promotes cancer stemness in triple-negative breast cancer through YB1-Snail/Slug signaling axis.
Genes & Diseases, 2022; 10: 301–306
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
A Machine Learning Method for Drug Combination Prediction.
Frontiers in Genetics, 2020; 11: 1000
Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease Associated Genes as Drug Candidates.
Frontiers in Genetics, 2019; 10: 474
专利 / 软件著作权
一种药物活性的预测方法及其应用
发明专利，ZL201710769899.7，专利权人（排名4/7），国家知识产权局
GCclassifier: 基于R语言的胃癌分子亚型预测平台
2026SR0082562，著作权人（排名1/3），国家版权局
COMPSRA: 基于Java的miRNA数据分析平台
2025SR2014194，著作权人（排名3/3），国家版权局
Deep-eccScan：基于深度学习的染色体外环状DNA检测软件
2025SR2477308，著作权人（排名3/3），国家版权局