1998年9月－2002年7月，山西师范大学，数学与计算机学院，本科；2002年9月－2005年3月，东南大学，理学院数学系，硕士；2007年9月－2010年6月，中国科学院数学与系统科学研究院，应用数学所，博士。

2005年5月至今，南京信息工程大学，数学与统计学院，教师；2010年7月至2011年2月，新加坡南洋理工大学，数学与物理学院，Research Fellow。2012年3月至2012年9月，新加坡南洋理工大学，数学与物理学院，Research Fellow。2013年7月至2013年8月，新加坡南洋理工大学，数学与物理学院，访问学者。

1、主持江苏省高校自然科学基金项目：缺失数据下的半参数模型变量选择方法研究（12KJB110016），2012.9-2014.12。2、主持国家自然科学基金项目：半参数模型的估计有效性问题的研究（11226222），2013.1-2013.12。3、参与江苏省自然科学基金项目：对称分布族下含测量误差的复杂数据建模和稳健诊断研究（BK2012459），2012.9-2015.12。4、主持国家自然科学基金项目：基于变系数半参数模型的高维数据统计分析（11301279），2014.1-2016.12。5、参与江苏省自然科学青年基金项目：超高维数据下带右删失的变系数模型统计推断（BK20140983），2014.9-2017.9。6、主持江苏省自然科学基金面上项目：超高维不完全数据下的统计降维研究（BK20161530），2016.7-2019.6。7、主持国家自然科学基金面上项目：超高维复杂数据统计降维研究（11771215），2018.1-2021.12。

Peng Lai, Yuanxing Chen, Jie Zhang, Bingying Dai, Qingzhao Zhang.Robust model-free feature screening for ultrahigh dimensional surrogate data. Journal of Statistical Computation and Simulation. 2020. 90(3), 550-569. (SCI)Zhao Zhenjie, Chang E, Lai Peng, Dong Ying, Xu Roukou, Fang Di, Jiang Jun. Evolution of soil surface charge in a chronosequence of paddy soil derived from Alfisol. SOIL & TILLAGE RESEARCH. 2019. 192, 144-150. (SCI)Lai Peng,Song FengliandGao Yufei.Stable feature screening for ultrahigh dimensional data.Journal of the Korean Statistical Society. 2019. 48, 221-232. (SCI)Song Fengli,Lai Peng, Shen Baohua andCheng Guosheng.Variance ratio screening for ultrahigh dimensional discriminant analysis.Communications in Statistics - Theory and Methods. 2018. 47, 6034-6051. (SCI)Li Xingxiang, Cheng Guosheng, Wang Liming, Lai Peng and Song Fengli. Ultrahigh dimensional feature screening via projection. Computational Statistics and Data Analysis. 2017. 114, 88-104. (SCI)Lai Peng, Song Fengli, Chen Kaiwen, and Liu Zhi. Model free feature screening with dependent variable in ultrahigh dimensional binary classification. Statistics and Probability Letters. 2017, 125, 141-148. (SCI) Cheng Guosheng, Li Xingxiang, Lai Peng, Song Fengliand Yu Jun. Robust rank screening for ultrahigh dimensional discriminant analysis. Statistics & Computing. 2017, 27, 535-545. (SCI) Lai Peng, Liu Yiming, Liu Zhi and Wan Yi. Model free feature screening for ultrahigh dimensional data with responses missing at random. Computational Statistics and Data Analysis. 2017. 105, 201-216. (SCI)Lai Peng, Zhang Qingzhao, Lian Heng and Wang Qihua. Efficient estimation for the heteroscedastic single-index varying coefficient models.Statistics and Probability Letters. 2016. 110, 84-93. (SCI)Zhao Weihua, Lian Heng, Zhang Riquan and Lai Peng. Estimation and variable selection for proportional response data with partially linear single-index models. Computational Statistics and Data Analysis. 2016. 96, 40-56. (SCI)Li Gaorong, Lai Pengand Lian Heng. Variable selection and estimation for partially linear single-index models with longitudinal data. Statistics and Computing. 2015. 25(3), 579-593. (SCI) Li Gaorong, Lian Heng,Lai Pengand Peng Heng.Variable Selection for Fixed Effects Varying Coefficient Models. Acta Mathematica Sinica, English Series. 2015. 31(1), 91-110. (SCI) Lai Peng, Meng Jie and Lian Heng.Polynomial spline approach for variable selection and estimation in varying coefficient models for time series data.Statistics and Probability Letters. 2015. 96(1), 21-27. (SCI)Lai Peng and Wang Qihua. Semiparametric efficient estimation for partially linear single-index models with responses missing at random.Journal of Multivariate Analysis. 2014, 128 (1), 33-50. (SCI)Lai Peng, Wang Qihua and Zhou Xiaohua. Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model. Computational Statistics and Data Analysis. 2014, 70, 241-256. (SCI)Lai Peng, Tian Ye and Lian Heng. Estimation and variable selection for generalized partially linear single-index models. Journal of Nonparametric Statistics. 2014, 26(1), 171-185. (SCI)Lai Peng, Li Gaorong and Lian Heng. Quadratic inference functions for partially linear single-index models with longitudinal data. Journal of Multivariate Analysis. 2013, 118(1), 115-127. (SCI)Lai Peng, Li Gaorong and Lian Heng. Semiparametric Estimation of Fixed Effects Panel Data Single-index Model. Statistics and Probability Letters. 2013. 83(6), 1595-1602. (SCI) Wang Lichun, Lai Peng, Lian Heng.Polynomial spline estimation for generalized varyingcoefficient partially linear models with a divergingnumber of components. Metrika. 2013, 1083-1103. (SCI)Lian Heng, Lai Peng and Liang Hua. Partially linear structure selection in Cox models with varying coefficients. Biometrics. 2013. 69(2), 348-357. (SCI)Lai Peng. Variable selection for partially linear single-index model with responses missing at random. Journal of Computational Information Systems. 2013. 9(3), 1229-1236. (EI)Lai Peng, Wang Qihua and Lian Heng. Bias-corrected GEE estimation and smooth-threshold GEE variable selection for single-index models with clustered data. Journal of Multivariate Analysis. 2012, 105 (1), 422-432. (SCI) Lai Peng and Guo Shuai. Variable selection for partially liear single-index model. Journal of Computational Information Systems. 2012, 8 (14), 5917-5924. (EI) Wang Qihua and Lai Peng. Empirical likelihood calibration estimation for the median treatment difference in observational studies. Computational Statistics and Data Analysis. 2011, 55 (4), 1596-1609. (SCI) Lai Peng and Wang Qihua. Partially linear single-index model with missing responses at random, Journal of Statistical Planning and Inference. 2011, 141 (2), 1047-1058. (SCI) Wang Qihua, Yao, Lili and Lai Peng. Estimation of the area under ROC curve with censored data. Journal of Statistical Planning and Inference. 2009, 139 (3), 1033-1044. (SCI)