一、教育背景：

2022密歇根理工大学，统计学博士

2017利兹大学， 精算金融学硕士

2011西南财经大学，金融学学士

二、研究方向：

多重假设检验、时间序列分析

三、教授课程：

多元统计分析，金融统计

四、学术成果：

lLing X, Han S, Rho Y. Unifying Additive p-value Combination Tests with Regularly Varying Tails (Working Paper)

lLing X, Rho Y. A simple remedy for the multiplicity problem in rolling window Granger causality tests (Working Paper)

lLing X, Rho Y. Stable combination tests. Statistica Sinica, 2022.

lLing X, Rho Y, Ten C. Predicting Global Trend of Cybersecurity on Continental Honeynets Using Vector Autoregression. ISGT, 2019.

lHe Z, Zhang X, Zhao C, Ling X, Qian Z, Wang Y, Hou X, Zou J, Zhou W. A method using deep learning to discover new predictors from left-ventricular mechanical dyssynchrony for CRT response. Journal of Nuclear Cardiology, 2022.