香香腐宅

基本信息：

姓名：张莉楠

专业：应用数学

职称：讲师

E-mail：zhanglinan@xxfz.org

研究方向：

1. 稀疏学习 Sparse Learning

2. 数据驱动的反问题 Data-driven Inverse Problems

3. 生物信息 Bioinformatics

教育背景：

2015.08-2019.12    卡耐基梅隆大学数学系  博士生

2011.08-2015.05    伍斯特理工学院数学系 本科生

工作经历：

2021.03-至今       香香腐宅 讲师

2020.02-2021.01  匹兹堡大学医学院             博士后

主持的科研项目：

1. 国家自然科学基金委员会，青年科学基金项目，2022—2024。

2. 宁波市甬江人才工程，青年创新人才，2023—2027。

代表性论文与出版物：

Google Scholar:

1. Y Zhou, H He, L Zhang. A Proximal Alternating Direction Method of Multipliers for DC Programming with Structured Constraints. Journal of Scientific Computing 99, 89 (2024).

2. L Zhang, S Cascio, JW Mellors, RJ Buckanovich, HU Osmanbeyoglu. Single-cell analysis reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of ovarian cancer. Communications Biology 7, 20 (2024).

3. X Lu, L Zhang, H He. Structured model selection via                                               optimization. Inverse Problems 40, 015011 (2024).

   （第一作者为本人2021级硕士研究生）

4. X Lu, H Ma, L Zhang. Model Selection via Reweighted Partial Sparse Recovery. Journal of Computational and Applied Mathematics 438, 115553 (2024).

   （第一作者为本人2021级硕士研究生）

5. H Ma, X Lu, L Zhang. Extracting parametric dynamics from time-series data. Nonlinear Dynamics 111, 15177–15199 (2023).

   （第一作者为本人2021级硕士研究生）

6. S Cascio, C Chandler, L Zhang, S Sinno, B Gao, S Onkar, TC Bruno, DAA Vignali, H Mahdi, HU Osmanbeyoglu, AM Vlad, LG Coffman, RJ Buckanovich. Cancer-associated MSC drive tumor immune exclusion and resistance to immunotherapy, which can be overcome by Hedgehog inhibition. Science Advances 7(46), eabi5790 (2021).

7. Y Sun, L Zhang, H Schaeffer. NeuPDE: Neural network based

   ordinary and partial differential equations for modeling time-dependent data. Proceedings of The First Mathematical and Scientific Machine Learning Conference, PMLR 107:352-372, 2020.

8. L Zhang, H Schaeffer. Forward stability of ResNet and its variants. Journal of Mathematical Imaging and Vision 62, 328-351 (2020).

9. H Schaeffer, G Tran, R Ward, L Zhang. Extracting structured dynamical systems using sparse optimization with very few samples. Multiscale Modeling & Simulation 18(4), 1435-1461 (2020).

10. L Zhang, H Schaeffer. On the convergence of the SINDy algorithm, Multiscale Modeling & Simulation 17(3), 948-972 (2019).

11. L Zhang, H Schaeffer. Stability and error estimates of BV solutions to the Abel inverse problem, Inverse Problems 34, 105003 (2018).

招生信息：

硕士研究生：开学当面了解。

博士研究生：掌握python、matlab、R；能针对计算问题写出pseudocode；对程序报错有debug思路。