Personal Profile 

Wang Yu, Ph.D., received her doctorate in Computational Biology and Bioinformatics from Beijing Forestry University in 2024. She currently serves as a postdoctoral researcher at the Beijing Institute of Mathematical Sciences and Applications and Tsinghua University. Her research lies at the interdisciplinary frontier of artificial intelligence, statistical science, and biological systems, focusing on developing mathematical and computational frameworks for complex data analysis and scientific discovery. Key areas of interest include statistical network inference, computational biology and bioinformatics, genetic interaction networks, and complex trait analysis.

Research Interests 

·        Statistical Network Inference

·        Graph-based Statistical Learning

·        Computational Biology and Bioinformatics

·        Genetic Interaction Networks and Complex Trait Analysis

·        AI-Assisted Complex Data Modeling and Scientific Discovery

Education

Sep. 2018 – Jun. 2024 | Beijing Forestry University | Computational Biology & Bioinformatics | Ph.D.

Work Experience

July 2024 – July 2026 Postdoctoral Researcher, Beijing Institute of Mathematical Sciences and Applications & Tsinghua University

Honors and Awards

·        Postgraduate Scholarship (2018-2024)

·        Outstanding Doctoral Candidate (2023)

·        Academic Innovation Award (2023)

·        Outstanding Doctoral Graduate (2024)

Publications

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.