Big Data in Economics and Management
暫譯: 經濟與管理中的大數據

Zheng Zhang is an Associate Professor (with tenure) at the Institute of Statistics and Big Data, Renmin University of China. He earned a Ph.D. in 2015 from the Department of Statistics, Chinese University of Hong Kong. His research fields mainly focus on causal inference and econometrics.

Kun Zhang is an Assistant Professor at the Institute of Statistics and Big Data, Renmin University of China. He obtained a bachelor degree in Mathematics and Applied Mathematics, master degree in Probability Theory from Beijing Normal University, and doctoral degree in Management Science from City University of Hong Kong. His research interests include stochastic simulation, machine learning, financial engineering and risk management.

Xing Yan is an Assistant Professor at the Institute of Statistics and Big Data, Renmin University of China. He obtained his Ph.D. degree from the Chinese University of Hong Kong in 2019. He works at the intersection of AI and finance. He does research on problems in the areas of financial engineering and FinTech such as risk management, asset pricing, quantitative investments, and derivatives, with machine learning and data science methodologies. His research interests also include generative learning, causal learning, OOD generalization, and uncertainty quantification in machine learning.

Songshan Yang is an Assistant Professor at the Institute of Statistics and Big Data, Renmin University of China. He obtained a bachelor degree in Statistics from Beijing Normal University, and doctoral degree in Statistics from Pennsylvania State University. His research interests include high dimensional data analysis, statistical optimization, machine learning and applications of statistical models in finance, physiology and psychology.

Yuqian Zhang is an Assistant Professor at the Institute of Statistics and Big Data, Renmin University of China. He obtained his Ph.D.from the University of California San Diego in 2022 and a bachelor's degree from Wuhan University in 2016. His research focuses on theory and methodology in causal inference, missing data problems, semi-supervised inference, high-dimensional statistics, and machine learning.

張正是中國人民大學統計與大數據研究所的副教授（終身職）。他於2015年在香港中文大學統計學系獲得博士學位。他的研究領域主要集中在因果推斷和計量經濟學。

張坤是中國人民大學統計與大數據研究所的助理教授。他在北京師範大學獲得數學與應用數學學士學位，並在該校獲得概率論碩士學位，隨後在香港城市大學獲得管理科學博士學位。他的研究興趣包括隨機模擬、機器學習、金融工程和風險管理。

嚴星是中國人民大學統計與大數據研究所的助理教授。他於2019年在香港中文大學獲得博士學位。他的研究工作位於人工智慧與金融的交集，專注於金融工程和金融科技（FinTech）領域的問題，如風險管理、資產定價、量化投資和衍生品，並運用機器學習和數據科學的方法論。他的研究興趣還包括生成學習、因果學習、OOD泛化和機器學習中的不確定性量化。

楊松山是中國人民大學統計與大數據研究所的助理教授。他在北京師範大學獲得統計學學士學位，並在賓夕法尼亞州立大學獲得統計學博士學位。他的研究興趣包括高維數據分析、統計優化、機器學習以及統計模型在金融、生理學和心理學中的應用。

張宇謙是中國人民大學統計與大數據研究所的助理教授。他於2022年在加州大學聖地亞哥分校獲得博士學位，並於2016年在武漢大學獲得學士學位。他的研究專注於因果推斷的理論與方法、缺失數據問題、半監督推斷、高維統計和機器學習。