衡强，现任必威betway西汉姆副研究员。于2015年至2019年就读于上海财经大学统计学系，获统计学学士学位；2019年至2023年就读于北卡罗来纳州立大学，获统计学博士学位。2023年11月至2024年10月，在加州大学洛杉矶分校计算医学学院从事博士后研究工作。

Qiang Heng is currently an associate researcher in the School of Statistics and Data Science at Southeast University. He studied in the Department of Statistics at Shanghai University of Finance and Economics from 2015 to 2019, earning a Bachelorin Statistics. From 2019 to 2023, he pursued further studies at North Carolina State University, where he obtained a Ph.D. in Statistics. Between 2023 and 2024, he conducted postdoctoral research at the Department of Computational Medicine at the University of California, Los Angeles.

优化方法，机器学习在生物学的应用，遗传统计。

[1] Heng, Q., Shen, H. and Lange, K., 2025. A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem. Journal of Computational and Graphical Statistics, (just-accepted)

[2] Heng, Q. and Lange, K., 2025. Bootstrap estimation of the proportion of outliers in robust regression. Statistics and computing, 35(1), p.3.

[3] Heng, Q., Chi, E.C. and Liu, Y., 2023. Robust low-rank tensor decomposition with the L2 criterion. Technometrics, 65(4), pp.537-552.

[4] Heng, Q., Zhou, H. and Chi, E.C., 2023. Bayesian trend filtering via proximal markov chain monte carlo. Journal of Computational and Graphical Statistics, 32(3), pp.938-949.