电子邮件：yu-cheng.chen(at)fzu.edu.cn

个人主页：https://www.chen-group.cn/

研究方向：生物分离；生物制药；智能制造

招生专业：083600生物工程/学硕；086001生物技术与工程/专硕；077700生物医学工程/学硕

教育工作经历：

2025.10 至 今：福州大学 | 生物科学与工程学院 | 副研究员

2025.09 至 2025.10：福州大学 | 生物科学与工程学院 | 讲师

2020.09 至 2025.06：浙江大学 | 化学工程与技术 | 博士

2023.11 至 2024.10：意大利米兰理工大学 | 化学工程 | 联合培养

2023.04 至 2023.09：奥地利维也纳自然资源与生命科学大学 | 生物技术 | 联合培养

2016.09 至 2020.06：厦门大学 | 生物工程 | 学士

科研简介：

围绕生物分离过程开展建模与优化研究，以第一作者在Biotechnol Bioeng，J Chromatogr A等期刊发表SCI论文12篇，参编图书著作1章，获软件著作权4项，担任SCI期刊Processes客座编辑及多个国际知名期刊审稿人。

主要研究方向概括如下：

[1] AI赋能生物分离过程建模与优化：引入机器学习与深度学习技术，开发机理与数据融合驱动的建模方法，辅助层析、过滤等生物分离下游工艺的过程优化。

[2] 连续生物制药与新型分离技术：聚焦单克隆抗体、小核酸、多肽等生物药物，探索连续流层析等新型工艺，促进生物制药过程的连续化与高效化。

欢迎具有生物、化工、制药、计算机背景，对“AI+生物制药”交叉领域感兴趣的同学加入！

主持科研项目：

[1] 福建省自然科学基金-创青项目

[2] 福州大学科技基金-引进人才科研启动项目

[3] 生物质化工教育部重点实验室开放课题

[4] 福州大学福建省高校测试中心贵重仪器设备开放测试基金

代表性论文：

[1] Chen Yu-Cheng, Fioretti   Ismaele, Lin Dong-Qiang, Sponchioni Mattia*. Hybrid modeling of the reversed-phase   chromatographic purification of an oligonucleotide: Few-shot learning from differentiable   physics solver-in-the-loop [J]. Biotechnology and Bioengineering, 2025,   122(8): 2179–2192. (福州大学国际顶级期刊)

[2] Chen Yu-Cheng, Recanati   Gabriele, De Mathia Fernando, Lin Dong-Qiang, Jungbauer Alois*. Residence time   distribution in continuous virus filtration [J]. Biotechnology and Bioengineering,   2024, 121(6): 1876–1888. (福州大学国际顶级期刊)

[3] Chen Yu-Cheng, Yao   Shan-Jing, Lin Dong-Qiang*. Integrating order-of-magnitude analysis to physics-informed   neural networks for linear chromatographic models [J]. Industrial & Engineering   Chemistry Research, 2025, 64(6): 3168–3182.

[4] Chen Yu-Cheng, Zhong   Xue-Zhao, Shi Ce, Chen Ran, Sponchioni Mattia, Yao Shan-Jing, Lin Dong-Qiang*.   Mechanistic modeling of anti-Langmuirian to Langmuirian behavior of Fc-fusion   proteins in cation exchange chromatography [J]. Journal of Chromatography A, 2025,   1741: 465602.

[5] Chen Yu-Cheng, Yao   Shan-Jing, Lin Dong-Qiang*. Enhancing thermodynamic consistency: Clarification   on the application of asymmetric activity model in multi-component chromatographic   separation [J]. Journal of Chromatography A, 2024, 1731: 465156.

[6] Chen Yu-Cheng, Yao   Shan-Jing, Lin Dong-Qiang*. Parameter-by-parameter method for steric mass action   model of ion exchange chromatography: Simplified estimation for steric shielding   factor [J]. Journal of Chromatography A, 2023, 1687: 463655.

[7] Chen Yu-Cheng, Yao   Shan-Jing, Lin Dong-Qiang*. Parameter-by-parameter method for steric mass action   model of ion exchange chromatography: Theoretical considerations and experimental   verification [J]. Journal of Chromatography A, 2022, 1680: 463418.

[8] Chen Yu-Cheng, Chen   Zhiyuan, Dai Shi-Peng, Xie Youping, Yao Shan-Jing, Lin Dong-Qiang*. Evolution   of chromatographic modeling: From mechanistic models to hybrid models with physics-based   deep learning [J]. Journal of Chromatography A, 2026, 1765: 466565.

[9] Chen Yucheng, Qiu Zehao,   Zhang Wen, Huang Xinxin, Ma Ruijuan, Wang Baobei, Ho Shih-Hsin, Chen Jianfeng,   Xie Youping*. Hyperproduction of lutein and protein in a novel yellow mutant of   chlorella sorokiniana via modulation of carbon‑nitrogen   metabolism under high-cell-density heterotrophic cultivation [J]. Algal Research,   2026, 95: 104626.

[10] Chen Yu-Cheng, Lu   Hui-Li, Wang Rong-Zhu, Sun Guo, Zhang Xue-Qin, Liang Jing-Qi, Jungbauer Alois,   Yao Shan-Jing, Lin Dong-Qiang*. Standardized approach for accurate and reliable   model development of ion-exchange chromatography based on parameter-by-parameter   method and consideration of extra-column effects [J]. Biotechnology Journal, 2024,   19(3): 2300687.

[11] Chen Yu-Cheng, Chen   Xin-Yu, Lin Zhi-Yuan, Yao Shan-Jing, Lin Dong-Qiang*. Practical teaching of modeling   tools for ion-exchange chromatography: A case study [J]. Journal of Chemical Education,   2023, 100(10): 3888–3896.

[12] Lin Dong-Qiang*#, Chen   Yu-Cheng#, Chen Xin-Yu, Yao Shan-Jing. Exploration and practice of online-offline   blended teaching in process simulation courses [J]. Journal of Chemical Education,   2024, 101(5): 1966–1973.

授权专利情况：

[1] 林东强, 陈煜成, 姚善泾. 层析机理模型和AI混合建模软件, 软件著作权登记号: 2025SR2387530 [P/OL]. 2025.

[2] 林东强, 陈煜成, 姚善泾. 空间质量作用模型校准软件, 软件著作权登记号: 2022SR1407855 [P/OL]. 2022.

[3] 林东强, 陈煜成, 姚善泾. 离子交换层析过程分析和模拟软件, 软件著作权登记号: 2020SR1886639 [P/OL]. 2020.

[4] 林东强, 杨宇翔, 陈煜成, 姚善泾. 基于PbP方法的离子交换层析过程分析和模拟软件, 软件著作权登记号: 2023SR0975789 [P/OL]. 2023.