个人简介

王玉，博士， 2024 年获北京林业大学计算生物学与生物信息学博士学位，进入北京雁栖湖应用数学研究院与清华大学担任博士后研究员。研究主要面向人工智能、统计科学与生物系统的交叉前沿，致力于发展用于复杂数据分析和科学发现的数学与计算框架，重点关注统计网络推断、计算生物学与生物信息学、遗传互作网络及复杂性状分析。

研究兴趣

·        统计网络推断

·        图统计学习

·        计算生物学与生物信息学

·        遗传互作网络与复杂性状分析

·        人工智能辅助的复杂数据建模与科学发现

教育经历

2018.9-2024.6 北京林业大学 计算生物学与生物信息学 博士

工作经历

2024.7-2026.7 北京雁栖湖应用数学研究院 & 清华大学 博士后

荣誉奖项

·        Postgraduate Scholarship (2018-2024)

·        Outstanding Doctoral Candidate (2023)

·        Academic Innovation Award (2023)

·        Outstanding Doctoral Graduate (2024)

出版物

1.           Wang Y, Sun N, Che J, Griffin C, Gragnoli C and Jiang L. GameTalker: Tracing cell-cell communication in tumorigenesis across boundaries. Data Analytics and Topology, 2026 (Corresponding author). https://dx.doi.org/10.4310/DAT.260127002543

2.           Wang Y, Zhao J, He X, Yang D, Jin Y, Wu R. A computational ecological genetic model of phenotypic plasticity in species interactions. Molecular Ecology Resources, 2026, 26(1): e70095. https://doi.org/10.1111/1755-0998.70095

3.           Wang Y, Wu R. Network stress: A wiring diagram of whole stress genes[J]. Horticulture Research, 2025: uhaf302. https://doi.org/10.1093/hr/uhaf302

4.           Wang Y, Sang M, Feng L, Gragnoli C, Griffin C, Wu R. A pleiotropic-epistatic entanglement model of drug response[J]. Drug Discovery Today, 2023, 28(11): 103790. https://doi.org/10.1016/j.drudis.2023.103790

5.           Gong H*, Wang H*, Wang Y*, Zhang S, Liu X, Che J, Wu S, Wu J, Sun X, Zhang S, Yau S-T, Wu R. Topological change of soil microbiota networks for forest resilience under global warming[J], Physics of Life Reviews, 2024, 50: 228-251 (co-first authors). https://doi.org/10.1016/j.plrev.2025.07.017

6.           Gong H*, Wang Y*, Wang H, Wang H, Sun X, Zhang S, Yau S-T, Wu R. Towards a better understanding of structural-functional relationships in the forest soil microbiota. Reply to comments on "Topological change of soil microbiota networks for forest resilience under global warming"[J]. Physics of Life Reviews, 2025, 54: 152-154 (co-first author).

7.           Xu S, Wang Y, Wu S, Wang Y, Dong A, Yau SS-T, Yau S-T, Wu R. Statistical learning of stochastic complex systems via the Yau-Yau nonlinear filter[J]. The Innovation, 2026: 101267.

8.           Sun L, Bian Y, Yang D, Miao R, Meng Y, Che J, Li Z, Li Z, Wang H, Wu S, Wang Y, Griffin C, Yau S- T, Wu R. Graph statistics theory of individualized quantitative genetics under haplotype-resolved genome assembly. PNAS, 2026, 123(14): e2600004123.

9.           Feng L, Gong H, Zhang H, Liu X, Wang Y, Xue C, Griffin C, Wu J, Yau S-T, Wu R. Hypernetwork modeling and topology of high-order interactions for complex systems[J], PNAS, 2024, 121(40): e2412220121.

10.       Sun N, Wang Y, Shi X, Yang D, Wu R, Yau SS-T. scMFF: a machine learning framework with multiple feature fusion strategies for cell type identification[J]. BMC Bioinformatics, 2025, 26(1): 277

11.       Temesgen S, Kedir R, Wang Y, Thomas Wetere Tulu. Estimating time-to-death and determining risk predictors of heart failure patients[J]. Statistics Innovation, 2025, 3(1).

12.       Fa C, Wang G, Pan W, Wang Y, Che J, Dong A, Yang D, Wu R, Yau S-T, Sun, L. An omnigenic interactome model to chart the genetic architecture of individual plants[J]. Horticulture Research, 2025: uhaf345.

13.       Che J, Wang Y, Feng L, Claudia G, Christopher G, Wu R. High-order interaction modeling of tumor- microenvironment crosstalk for tumor growth[J]. Physics of Life Reviews, 2025, 54: 11-23.

14.       Dong A, Wu S, Che J, Wang Y, Wu R. idopNetwork: A network tool to dissect spatial community ecology[J]. Methods in Ecology and Evolution, 2023, 14(9): 2272-2283.

15.       Wei X, Wang Y, Ding M, Wu S, Liang D, Ye M, Wu R. The dissection of genetic regulation on dynamic stem growth of Populus szechuanica var. tibetica using the allometry and game theory[J]. Journal of Beijing Forestry University, 2022, 46:1-12.

16.       Che J, Wang Y, Dong A, Cao Y, Wu S, Wu R. A nested reciprocal experimental design to map the genetic architecture of transgenerational phenotypic plasticity[J]. Horticultural Research, 2024, 11(8): uhae172.

Patent application

1、Sun N, Yau SS-T, Yu, H, Wang Y, Zhou P. Method and Device for Predicting Single-Cell Drug Response Based on Dynamic Distribution Adaptation and Multi-Source Domain Feature Weighting. (基于动态分布适应和多源域特征加权的单细胞药物反应预测方法及装置). Chinese invention patent application No. 2025120600355, filed 31 Dec 2025.