Yimeng Ren | 任怡萌
Postdoctoral Research Fellow
Data heterogeneity | Network analysis | Panel data model
Clear Water Bay, Hong Kong SAR
Clear Water Bay, Hong Kong SAR
Welcome to my website! I am currently a Postdoctoral Fellow of the FinStaR Team at the Department of ISOM of HKUST, where I am deeply honored to work with Prof. Yingying Li and Prof. Xinghua Zheng. I received my Ph.D. degree in Economics (Statistics) from Fudan University, and I was truly fortunate to be advised by Prof. Xuening Zhu. Before that, I earned my B.S. and M.S. degrees from the School of Statistics at Renmin University of China.
Currently, I focus on investigating general heterogeneity modeling in social and financial data. I aim to develop and apply statistical modeling tools to better illustrate these dependent, complex systems, with the goal of proposing more general, broadly applicable statistical methods.
Data Heterogeneity Modeling
Network Dependence Analysis
Spatial Econometrics
Statistical Machine Learning
2022–2025, Doctor in Economics (Statistics), Fudan University.
2020–2022, Master's in Applied Statistics, Renmin University of China.
2016–2020, Bachelor's in Economics (Economic Statistics), Renmin University of China.
June 2026, our paper Multi-relational Network Autoregression Model with Latent Group Structures was accepted by JMLR!