张力，博士，硕士生导师，深圳市海外高层次人才孔雀计划C类。于2017年获得香港大学电机电子工程系博士学位，2018年加入深圳大学医学部生物医学工程学院任副研究员，2023年任助理教授。主要研究方向包括影像遗传学，计算神经科学，生物信息学，数值优化等领域。主持国家自然科学基金青年项目一项，广东省区域联合基金项目一项，以第一作者/通讯作者在Cerebral Cortex， Neurocomputing，IEEE/ACM Transactions on Computational Biology and Bioinformatics等期刊上发表多篇学术论文，担任IEEE DSP 2018国际会议Special Session分会场联合主席，Frontiers in Human Neuroscience客座编辑，Frontiers in Pain Research审稿编辑，以及Human Brain Mapping，Journal of Affective Disorders等多个期刊审稿人。

(1) 智能影像遗传学

(2) 计算神经科学

(3) 情感与疼痛

（1）国家自然科学基金青年项目，62201356，基因表达指导下的动态脑网络构建及在双相情感障碍中的应用，30万元，主持

（2）广东省区域联合基金青年项目，2021A1515110694，基于时空正则化与分布式算法的高维动态基因调控网络构建及分析，10万元，主持

(1) L. Zhang, Y. W. Pan, G. Huang, Z. Liang, L. L. Li, M. Zhang, and Z. G. Zhang, “A brain-wide genome-wide association study of candidate quantitative trait loci associated with structural and functional phenotypes of pain sensitivity,” Cerebral Cortex, vol. 33, no. 11, pp. 7297-7309, 2023.

(2) L. Zhang, G. Huang, Z. Liang, L. L. Li, and Z. G. Zhang, “Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations,” no. 485, pp. 22-35, Neurocomputing, 2022.

(3) L. Zhang, Z. N. Fu, W. W. Zhang, G. Huang, Z. Liang, L. L. Li, B. B. Biswal, V. D. Calhoun, and Z. G. Zhang, “Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI,” Neurocomputing, no. 443, pp. 147-161, 2021.

(4) L. Zhang, H. C. Wu, C. H. Ho, and S. C. Chan, “A multi-Laplacian prior and augmented Lagrangian approach to the exploratory analysis of time-varying gene and transcriptional regulatory networks for gene microarray data,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16, no. 6, pp. 1816-1829, 2019.

(5) S. C. Chan, H. C. Wu, C. H. Ho, and L. Zhang*, “An augmented Lagrangian approach for distributed robust estimation in large-scale systems,” IEEE Systems Journal, vol. 13, no. 3, pp. 2986-2997, 2019. (* Corresponding author)