2017年于新加坡南洋理工大学获得博士学位。

2017年4月至2019年8月于澳大利亚莫纳什大学从事博士后工作。

2019年9月加入管理学院统计与金融系。

研究方向：大维随机矩阵、高维时间序列和复杂网络问题。统计方法在经管学科的应用。

1. Han Xiao. Pan Guangming. and Zhang Bo(2016). The Tracy-Widom law for the largest eigenvalue of F type matrices. Annals of Statistics, 44(4), 1564-1592. 

2. Zhang Bo, Pan Guangming and Gao Jiti(2018). CLT for Largest Eigenvalues and Unit Root Tests for High-Dimensional Nonstationary Time Series. Annals of Statistics, 46(5), 2186-2215.

3. Zhang Bo, Pan Guangming, Yao Qiwei and Zhou Wang(2024). Factor Modeling for Clustering High-dimensional Time Series. JASA, 119(546), 1252-1263.

4. Zhang Bo, Gao Jiti, Pan Guangming* and Yang Yanrong(2025). Identifying the structure of high-dimensional time series via eigen-analysis. JASA, 120(552), 2822-2833.

5. Zhang Bo, Zhang Zhixiang* and Pan Guangming(2026). Estimating the number of significant components in high-dimensional principal component analysis. Biometrika. 113(2), asaf092.

6.Qiao Xinghao, Wang Zihan*, Yao Qiwei and Zhang Bo(2026+). Weight-calibrated estimation for factor models of high-dimensional time series. JASA,  doi.org/10.1080/01621459.2026.2681994.

7. Zhang Bo (2024). Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’, Journal of the Royal Statistical Society Series B-Statistical Methodology, 86(2),309-310.

8. Tian Hanyang, Zhang Bo*, Jiang Ruixue* and Han Xiao(2025). A New Preferential Model With Homophily for Recommender Systems. Statistica Sinica. 35, 389-409

9.  Zhang Bo*, Hao Sixing and Yao Qiwei(2025). Blind Source Separation over Space: An Eigenanalysis Approach. Statistica Sinica. 35, 2373-2390.

10. He Lingyu, Yang Yanrong and Zhang Bo*(2023). Robust PCA for high dimensional data based on characteristic transformation. Australian & New Zealand Journal of Statistics. 65(2), 127-151.

11. Zhang Bo, Tian Hanyang, Yao Chi, Pan Guanming*(2024). A New Model for Preferential Attachment Scheme with Time-Varying Parameters. Journal of Statistical Physics,191:90.

12. Wu Jie, Zhang Bo, Li Daoji*, Zheng Zemin (2025+). Simultaneous Heterogeneity and Reduced-Rank Learning for Multivariate Response Regression. Journal of Multivariate Analysis. Accepted.

13. Sun Tianyi, Zhang Bo*, Jin Baisuo and Wu Yuehua(2026). Mixed Membership Network with the Autoregressive Structure. Statistica Sinica, DOI:10.5705/ss.202024.0435.

14. Li Letiam, Zheng Zemin?, Zhang Bo, and Zhang Jie?(2026+). Heterogeneity pursuit in large-scale association networks via REACH. Journal of Business & Economic Statistics. Accepted.

Working Paper:

1. Chen Huayun*, Zhang Bo and Pan Guangming. Estimation and Inference on Proportion of Explained Variation with Possible Supplementary Covariate Data. Subbmitted to Biometrics, Under Review.

2. Chang Jinyuan, Ding Yi, Shi Zhentao* and Zhang Bo.  Zero Variance Portfolio. Submitted to MS, Major Revision.

本科生研究指导：对高维统计或复杂网络有兴趣的同学。对统计方法在经管学科的应用有兴趣的同学（与有相关学科顶刊发表经验的学者共同指导）。

本科生毕业设计：倾向于指导计划未来从事高维统计或复杂网络研究的同学。