一、教育背景：

2013年8月于美国佛罗里达大学获得统计学博士学位，

二、工作经历：

曾任职美国谷歌公司和瑞士诺华集团。2015年7月至今在西南财经大学工作，现为西南财经大学36365路检测中心-官网(36365路检测中心)副教授，西南财经大学36365路检测中心-官网(36365路检测中心)数据科学系主任。

三、学术成果：

Peng, X., Zhu, T., Chen, Q., Zhang, Y., Zhou, R., Li, K., & Hao, X. (2024). A simple machine learning model for the prediction of acute kidney injury following noncardiac surgery in geriatric patients: a prospective cohort study. BMC Geriatrics, Vol. 24, pp. 1-11

Xiang, X. N., Wang, Z. Z., Zhang, J. Y., Li, K., Chen, Q. X., Xu, F. S., Zhang Y. W., He H.C., He C. Q., Zhu, S. Y. (2024). Telehealth-supported exercise/physical activity programs for knee osteoarthritis: A systematic review and meta-analysis. Journal of Medical Internet Research, Vol. 26, pp. 1-20

姚潇、李可、余乐安 (2022). 非平衡样本下基于生成对抗网络过抽样技术的公司债券违约风险预测研究, 系统工程理论与实践, Vol. 42, pp. 2617-2634.

Peng, X., Zhu, T., Wang, T., Wang, F., Li, K. & Hao, X. (2022). Machine learning prediction of postoperative major adverse cardiovascular events in geriatric patients: a prospective cohort study, BMC Anesthesiology, Vol. 22, pp.1-10.

Chen, J., Liu, J., Qi, J., Gao, M., Cheng, S., Li, K. & Xu, C. (2022). City- and county-level spatio-temporal energy consumption and efficiency datasets for China from 1997 to 2017, Scientific Data, Vol. 9, pp. 1-16.

Chen, J., Li, Z., Song, M., Wang, Y., Wu, Y. & Li, K. (2022). Economic and intensity effects of coal consumption in China, Journal of Environmental Management, Vol. 301, pp. 1-9.

Li, K., Zhou, F., Li, Z., Li, W. & Shen, F. (2021). A semi-parametric ensemble model for profit evaluation and investment decisions in online consumer loans with prepayments, Applied Soft Computing, Vol. 107, pp. 1-12.

Li, K., Zhou, F., Li, Z., Yao, X. & Zhang, Y. (2021). Predicting loss given default using post-default information, Knowledge-Based Systems, Vol. 224, pp. 1-14.

Li, Z., Hu, X., Li, K., Zhou, F. & Shen, F. (2020). Inferring the outcomes of rejected loans: An application of semisupervised clustering, Journal of the Royal Statistical Society: Series A, Vol. 183, pp. 631-654.

Shen, F., Zhao, X., Li, Z., Li, K. & Meng, Z. (2019). A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation, Physica A, Vol. 526, pp. 1-17.

Chen, J., Fan, W., Li, K., Liu, X. & Song, M. (2019). Fitting chinese cities’ population distributions using remote sensing satellite data, Ecological Indicators, Vol. 98, pp. 327-333.

Li, Z., Li, K., Yao, X. & Wen, Q. (2019). Predicting prepayment and default risks of unsecured consumer loans in online lending, Emerging Markets Finance & Trade, Vol. 55, pp. 118-132.

Chen, J., Xu, C., Li, K. & Song, M. (2018). A gravity model and exploratory spatial data analysis of prefecture-scale pollutant and CO2 emissions in China, Ecological Indicators, Vol. 90, pp. 554-563.

吴茵茵、李力、 李可、陈建东 (2018). 中国工业环境生产效率及环境保护税开征的研究, 中国人口·资源与环境, Vol. 28, pp. 63-72.

Tang, X., Li, K. & Malay, G. (2017). Bayesian multiple testing under sparsity for polynomial-tailed distributions, Statistica Sinica, Vol. 27, pp. 1225-1242.

Li, Z., Tian, Y., Li, K., Zhou, F. & Yang, W. (2017). Reject inference in credit scoring using semi-supervised support vector machines, Expert Systems with Applications, Vol. 74, pp. 105-114.

Tian, Y., Li, K., Yang, W. & Li, Z. (2017). A new effective branch-and-bound algorithm to the high order mimo detection problem, Journal of Combinatorial Optimization, Vol. 33, pp. 1395-1410.

四、学术兼职：

“中国现场统计研究会大数据统计分会理事”、“中国金融安全协同创新中心研究员”、“成都市教育学会人工智能专委会副主任”、“《统计研究》等国内外著名期刊审稿人”。