【个人简介】

王以瑄，现任南京航空航天大学自动化学院生物医学工程系副研究员；长期专注于肿瘤精准医疗领域的生物医学大数据及其智能系统研究，主要研究方向包括生物信息计算与数字健康、生物医学信息系统、临床决策支持；入选国家资助博士后研究人员计划项目；主持国家自然科学基金青年项目、面上项目；累计发表学术论文27篇；申请发明专利7项；现担任ISCB-China理事等。

【教育经历】

2019.03-2023.03  西安交通大学 / 计算机科学与技术 / 博士            

2017.09-2019.02  西安交通大学 / 计算机科学与技术 / 硕士  

2013.09-2017.06  苏州大学 / 数学与应用数学 / 学士

【学术成果】

1. Jia W, Lin K, Liu X, et al. Single-cell analysis identifies dysregulated cell type-specific gene programs and intercellular crosstalk underlying colorectal cancer[J]. npj Precision Oncology, 2026, 10: 321.

2. Wang Y, Zhu T, Song X, et al. TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts[J]. Briefings in Bioinformatics, 2025, 26(6): bbaf578.

3. Wang Y, Guan Y, Lai X, et al. THOR: a TMB heterogeneity-adaptive optimization model predicts immunotherapy response using clonal genomic features in group-structured data[J]. Briefings in Bioinformatics, 2025, 26(1): bbae648.

4. Zhang M, Wu J, Wang Y, et al. Deep-m7G: A contrastive learning-based deep biological language model for identifying RNA N7-methylguanosine sites[J]. International Journal of Biological Macromolecules, 2025: 145341.

5. Lai X, Wang S, Zhang X, et al. TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors[J]. Frontiers in Immunology, 2025, 15: 1514295.

6. Wang Y, Wang J, Fang W, et al. TMBserval: a statistical explainable learning model reveals weighted tumor mutation burden better categorizing therapeutic benefits[J]. Frontiers in Immunology, 2023, 14: 1151755.

7. Wang Y, Lai X, Wang J, et al. TMBcat: a multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds[J]. Frontiers in Immunology, 2022, 13: 995180.

8. Wang Y, Lai X, Wang J, et al. A joint model considering measurement errors for optimally identifying tumor mutation burden threshold[J]. Frontiers in Genetics, 2022, 13: 915839.

9. Wang Y, Zhang X, Xiao X, et al. Accurately estimating the length distributions of genomic micro-satellites by tumor purity deconvolution[J]. BMC bioinformatics, 2020, 21.

10. Wang Y, Zhang X, Ding S, et al. A graph-based algorithm for estimating clonal haplotypes of tumor sample from sequencing data[J]. BMC Medical Genomics, 2019, 12: 107-118.

【承担项目】

1. 国家自然科学基金面上项目，多源异质数据驱动的肿瘤免疫治疗分层决策与动态监测，主持；

2. 国家自然科学基金青年项目，多维动态生物标志物辅助肿瘤免疫治疗多终点融合决策研究，主持；

3. 国家资助博士后研人员计划，主持；

4. 南京航空航天大学校人才科研启动基金，主持；

5. 横向项目，基于群组结构化基因测序数据的肿瘤免疫治疗效果评估与决策支持，主持。