张月蕾，必威betway西汉姆副研究员，2026毕业于南京大学，获得博士学位。研究方向为生物信息学、计算生物学及统计方法在生物医学数据中的交叉应用。围绕单细胞、空间组学及多模态数据分析中的关键统计学与计算问题，开展可解释、鲁棒、可迁移的空间组学分析方法研究。相关成果以第一作者发表于Science Advances, Cancer Research, Cell Genomics和Bioinformatics 等权威期刊。

Yuelei Zhang is an Assistant Professor at the School of Statistics and Data Science, Southeast University. She received her Ph.D. degree from Nanjing University in 2026. Her research interests include bioinformatics, computational biology, and the interdisciplinary application of statistical methods in biomedical data analysis. Focusing on key statistical and computational challenges in single-cell omics, spatial omics, and multimodal molecular data analysis, she has developed interpretable, robust, and transferable research frameworks for spatial omics. Her related work has been published as first-author articles in leading journals, including Science Advances, Cancer Research, Cell Genomics, and Bioinformatics.

（1）生物信息学与计算生物学：面向组学与网络生物学，开发用于分析大规模生物数据的计算方法，重点关注时空组学中的注释、整合与新模式发现；

（2）数据科学（机器学习、深度学习与统计建模）：致力于构建可解释、鲁棒的算法及深度学习模型，以揭示复杂数据中的潜在结构与因果关系。

欢迎对生物统计、生物信息学、计算生物学、人工智能与医学数据分析交叉研究感兴趣的同学加入，共同探索兼具方法学创新和生命医学价值的科学问题。

2026年，南京大学优秀毕业生；

2024年，获得博士研究生国家奖学金；

多次在全国性学术会议作口头报告。

江苏省研究生创新计划项目（KYCX25_0239），基于时空组学的肿瘤微环境空间域识别方法开发，2025-2026（主持）

[1] Zhang Y, Yu B, Ming W, et al. SpaTopic: A statistical learning framework for exploring tumor spatial architecture from spatially resolved transcriptomic data. Science Advances 2024;10(39):eadp4942. doi:10.1126/sciadv.adp4942

[2] Zhang Y, Ming W, Yu B, et al. Robust integration and annotation of single-cell and spatial omics data using interpretable gene programs. Cell Genomics 2026;6(4):101105. doi:10.1016/j.xgen.2025.101105

[3] Zhang Y, Yang B, Hou X, et al. Spatially Resolved Molecular Subtyping Uncovers Tumor Progression and Immune Evasion Mechanisms in High-Grade Serous Ovarian Cancer. Cancer Research Published online May 27, 2026. doi:10.1158/0008-5472.CAN-25-4749

[4] Zhang Y, Li Q, Wang J, et al. Causal network inference based on cross-validation predictability. Communications Physics 2025;8:173 doi:10.1038/s42005-025-02091-4

[5] Zhang Y, Chang X, Liu X. Inference of gene regulatory networks using pseudo-time series data. Bioinformatics 2021;37(16):2423-2431. doi:10.1093/bioinformatics/btab099

[6] Wang J, Zhang Y, Chen L et al. Reconstructing Molecular Networks by Causal Diffusion Do-Calculus Analysis with Deep Learning. Advanced Science 2024;11(46):e2409170. doi:10.1002/advs.202409170

[7] Liu Y, Zhang YL, Chang X et al. MDIC3: Matrix decomposition to infer cell-cell communication. Patterns 2024;5(2):100911. doi:10.1016/j.patter