王 冠
生物工程专业：博士生导师/硕士生导师
生物学专业：硕士生导师
生物与医药专业（生物工程领域）：硕士生导师
王冠，工学博士，副教授，博士生导师。先后入选华东理工大学“青年英才培育计划”（2020 年A类），上海市青年科技启明星（2021年A类），全国石油和化工优秀教学团队（2023年），山东省泰山学者青年专家（2024年）。
2018年毕业于华东理工大学获生物化工专业工学博士学位，同年进入华东理工大学轻工技术与工程流动站从事博士后研究工作，2020年7月出站担任教职。依托生物反应器工程全国重点实验室和国家生化工程技术研究中心（上海），近年来围绕生物反应器与智能生物制造过程共性关键技术开发与应用，聚焦细胞代谢建模、工业规模非均匀流场环境理性缩放、“细胞-环境”互作代谢机制解析以及工业规模生物过程理性设计与评估，提出了基于细胞代谢动力学-流体力学模型整合下工业生物过程理性放大新方法。作为项目负责人主持国家自然科学基金、国家重点研发计划子课题、国家重点研发计划青年项目任务、上海市青年科技启明星计划、上海市自然科学基金、上海市促进人才发展专项资金（博士后）等国家与省部级项目8项，企业横向项目4项；作为主要项目骨干参与中国-荷兰国际科技合作专项和多项国家自然科学基金项目等。2015年赴荷兰代尔夫特理工大学（Delft University of Technology）皇家科学院院士Prof. Joseph J. Heijnen课题组开展合作项目交流与学习。
近年来，在Trends in Biotechnology, Bioresource Technology, Biotechnology and Bioengineering等生物技术与生物工程领域核心期刊上发表SCI收录论文33篇，第一或通讯作者25篇，英文专著3章节，授权中国发明专利4项。受邀担任Bioengineering专刊“Design, Optimization and Scale Up of Fermentation Processes”Guest editor。担任Biotechnology and Bioengineering, Biotechnology Journal, Journal of Biotechnology, Biochemical Engineering Journal, Process Biochemistry, Metabolites, Engineering in Life Sciences等期刊审稿人。
研究方向：
1. 生物反应器非均匀流场理性缩放与细胞代谢调控机制解析
2. 生物过程（微生物、动物细胞）多尺度优化与智能调控
3. 微生物系统代谢工程改造与高附加值产品开发
4. 细胞代谢建模与计算生物学
5. 三维肿瘤细胞代谢异质性与耐药机制解析
主持或参加的科研项目或基金：
[1] 上海市自然科学基金青年项目，2025.7-2028.6, 项目负责人
[2] 国家重点研发计划青年科学家项目，2024.12-2027.11, 任务负责人
[3] 上海市青年科技启明星计划A类，2021.7-2024.6, 项目负责人
[4] “绿色生物制造” 国家重点研发计划，2021.7-2024.6, 子课题负责人
[5] “绿色生物制造” 国家重点研发计划，2021.7-2025.6, 子课题负责人
[6] 国家自然科学基金青年基金项目，2020.1-2022.12, 项目负责人
[7] 上海市自然科学基金面上项目，2019.7-2022.6, 项目负责人
[8] 上海市促进人才发展专项资金（博士后），2018.1-2019.12, 项目负责人
本科与研究生教学：
[1] 本科生专业必修课，《实验数据统计分析》，16学时，1学分；
[2] 本科生专业必修课，《生物反应工程原理》，48学时，3学分；
[3] 本科生专业必修课，《智能生物制造医药与设计》，16/48学时，3学分
[4] 研究生专业核心课，《生物反应器工程》，16/64学时，4学分；
[5] 研究生专业选修课，《生物反应工程》（全英文），32学时，2学分。
代表性论文（*通讯作者）：
1）一作或通讯论文
[1] Kaidi Ji, Xiaofei Yu, Lifan Chen, Yongbo Wang, Zhiqiang Guo, Biao Chen, Qingyang Li, Zhen Li, Hu Zhang, Guan Wang*, Yingping Zhuang, Yinlan Ruan*. Data-Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer. Biotechnology and Bioengineering, 2025, published online.
[2] Yining Chen, Cees Haringa, Zejian Wang, Yingping Zhuang, Guan Wang*. Physiological Response of Penicillium chrysogenum to Mimicked Local and Global Perturbations of Substrate and Dissolved Oxygen Gradients at Industrial-Scale. Biotechnology and Bioengineering, 2025, 122(6), 1402-1423.
[3] Zhenhua Yu, Wenjing Wang, Xueting Wang, Qingchao Jiang*, Guan Wang*. Nonlinear dynamic process monitoring based on latent mapping embedding deep neural networks. The Canadian Journal of Chemical Engineering, 2025, 103(4), 1802-1812.
[4] Jiachen Zhao, Muhammad Alkali Muawiya, Yingping Zhuang, Guan Wang*. Developing rational scale-down simulators for mimicking substrate heterogeneities based on cell lifelines in industrial-scale bioreactors. Bioresource Technology, 2024, 395, 130354.
[5] Tong Wang, Xueting Wang, Xuli Zheng, Zhongfang Guo, Ali Mohsin, Yingping Zhuang, Guan Wang*. Overexpression of SLC2A1, ALDOC, and PFKFB4 in the glycolysis pathway drives strong drug resistance in 3D HeLa tumor cell spheroids. Biotechnology Journal, 2024, 19(9), 2400163.
[6] Zhixian Xu, Xiaofeng Zhu, Ali Mohsin, Jianfei Guo, Yingping Zhuang, Ju Chu, Meijin Guo, Guan Wang*. A machine learning-based approach for improving plasmid DNA production in Escherichia coli fed-batch fermentations. Biotechnology Journal, 2024, 19(6), 2400140.
[7] Zhongyi Zhang, Qingchao Jiang*, Guan Wang*, Chunjian Pan, Zhixing Cao, Xuefeng Yan, Yingping Zhuang. Neural networks-based hybrid beneficial variable selection and modeling for soft sensing. Control Engineering Practice, 2023, 139, 105613.
[8] Ziyu Zhu, Xiaoqian Chen, Wenhao Li, Yingping Zhuang, Yuzheng Zhao, Guan Wang*. Understanding the effect of temperature downshift on CHO cell growth, antibody titer and product quality by intracellular metabolite profiling and in vivo monitoring of redox state. Biotechnology Progress, 2023, 39(4), e3352.
[9] Tong Wang, Xueting Wang, Yingping Zhuang, Guan Wang*. A systematic evaluation of quenching and extraction procedures for quantitative metabolome profiling of HeLa carcinoma cell under 2D and 3D cell culture conditions. Biotechnology Journal, 2023, 18(5), 2200444.
[10] Qi Yang, Wenli Lin, Jiawei Xu, Nan Guo, Jiachen Zhao, Gaoya Wang, Yongbo Wang, Ju Chu, and Guan Wang*. Changes in oxygen availability during glucose-limited chemostat cultivations of Penicillium chrysogenum lead to rapid metabolite, flux and productivity responses. Metabolites, 2022, 12(1), 45.
[11] Lin Wang, Xueting Wang, Tong Wang, Yingping Zhuang, and Guan Wang*. Multi-omics analysis defines 5-fluorouracil drug resistance in 3D HeLa carcinoma cell model. Bioresources and Bioprocessing, 2021, 8(1), 1-21.
[12] Guan Wang*, Cees Haringa, Henk Noorman, Ju Chu, and Yingping Zhuang*. Developing a computational framework to advance bioprocess scale-up. Trends in Biotechnology, 2020, 38(8), 846-856.
[13] Guan Wang, Cees Haringa, Wenjun Tang, Henk Noorman, Ju Chu*, Yingping Zhuang*, and Siliang Zhang. Coupled metabolic-hydrodynamic modeling enabling rational scale-up of industrial bioprocesses. Biotechnology and Bioengineering, 2020, 117, 844-867.
[14] Tong Wang, Lin Wang, Guan Wang*, and Yingping Zhuang*. Leveraging and manufacturing in vitro multicellular spheroid-based tumor cell model as a preclinical tool for translating dysregulated tumor metabolism into clinical targets and biomarkers. Bioresources and Bioprocessing, 2020, 7(1), 1-34.
[15] Jiachen Zhao, Guan Wang*, Ju Chu, and Yingping Zhuang. Harnessing microbial metabolomics for industrial applications. World Journal of Microbiology and Biotechnology, 2020, 36(1), 1-18.
[16] Guan Wang*, Ju Chu, Yingping Zhuang*, Walter van Gulik, and Henk Noorman. A dynamic model-based preparation of uniformly-13C-labeled internal standards facilitates quantitative metabolomics analysis of Penicillium chrysogenum. Journal of Biotechnology, 2019, 299, 21-31.
[17] Guan Wang, Xinxin Wang, Tong Wang, Walter van Gulik, Henk J. Noorman, Yingping Zhuang*, Ju Chu*, and Siliang Zhang. Comparative fluxome and metabolome analysis of formate as an auxiliary substrate for penicillin production under glucose-limited cultivation of Penicillium chrysogenum. Biotechnology Journal, 2019, 14(10), 1900009.
[18] Guan Wang, Junfei Zhao, Xinxin Wang, Tong Wang, Yingping Zhuang*, Ju Chu*, Siliang Zhang, Henk J. Noorman. Quantitative metabolomics and metabolic flux analysis reveal impact of altered trehalose metabolism on metabolic phenotypes of Penicillium chrysogenum in aerobic glucose-limited chemostats, Biochemical Engineering Journal, 2019, 146: 41-51.
[19] Guan Wang, Baofeng Wu, Junfei Zhao, Cees Haringa, Jianye Xia, Ju Chu*, Yingping Zhuang, Siliang Zhang, Joseph J. Heijnen, Walter van Gulik, Amit T. Deshmukh, Henk J. Noorman*. Power input effects on degeneration in prolonged penicillin chemostat cultures: A systems analysis at flux, residual glucose, metabolite, and transcript levels, Biotechnology and Bioengineering, 2018, 115: 114-125.
[20] Guan Wang, Junfei Zhao, Cees Haringa, Wenjun Tang, Jianye Xia, Ju Chu*, Yingping Zhuang, Siliang Zhang, Amit T. Deshmukh, Walter van Gulik, Joseph J. Heijnen, Henk J. Noorman. Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis, Microbial Biotechnology, 2018, 11: 486-497.
[21] Guan Wang, Wenjun Tang, Jianye Xia, Ju Chu*, Henk J. Noorman, Walter van Gulik. Integration of microbial kinetics and fluid dynamics toward model-driven scale-up of industrial bioprocesses, Engineering in Life Sciences, 2015, 15: 20-29.
[22] Guan Wang, Ju Chu*, Henk J. Noorman, Jianye Xia, Wenjun Tang, Yingping Zhuang, Siliang Zhang. Prelude to rational scale-up of penicillin production: a scale-down study, Applied Microbiology and Biotechnology, 2014, 98: 2359-2369.
[23] 王冠，庄英萍*. 生物过程工程与智能生物制造. 中国科学院院刊，2025，40（1）， 107-115.
[24] 王冠，田锡炜，夏建业，储炬，张嗣良，庄英萍*. 大数据-模型混合驱动下生物过程优化与放大的新机遇与挑战. 生物工程学报，2021, 37(3), 1004-1016.
2）合著论文
[25] Zhongyi Zhang, Xueting Wang, Guan Wang, Qingchao Jiang*, Xuefeng Yan, Yingping Zhuang. A data enhancement method based on generative adversarial network for small sample-size with soft sensor application. Computers & Chemical Engineering, 2024, 186, 108707.
[26] Yifei Sun, Xuefeng Yan*, Qingchao Jiang, Guan Wang, Yingping Zhuang, Xueting Wang. Multiple feature fusion transformer for modeling penicillin fermentation process with unequal sampling intervals. Bioprocess and Biosystems Engineering, 2023, 46(11), 1677-1693.
[27] Li, Xinzhe, Yufeng Dong, Lu Chang, Lifan Chen, Guan Wang, Yingping Zhuang, and Xuefeng Yan*. Dynamic hybrid modeling of fuel ethanol fermentation process by integrating biomass concentration XGBoost model and kinetic parameter artificial neural network model into mechanism model. Renewable Energy, 2023, 205, 574-582.
[28] Jianye Xia, Guan Wang, Meng Fan, Min Chen, Zeyu Wang, and Yingping Zhuang*. Understanding the scale-up of fermentation processes from the viewpoint of the flow field in bioreactors and the physiological response of strains. Chinese Journal of Chemical Engineering, 2021, 30, 178-184.
[29] Weiqiang Cao, Guan Wang, Hongzhong Lu, Liming Ouyang*, Ju Chu, Yufei Sui, and Yingping Zhuang*. Improving cytosolic aspartate biosynthesis increases glucoamylase production in Aspergillus niger under oxygen limitation. Microbial Cell factories, 2020, 19: 1-14.
[30] Shaohuang Shen, Guan Wang, Ming Zhang, Yin Tang, Yang Gu, Weihong Jiang, Yonghong Wang* and Yingping Zhuang*. Effect of temperature and surfactant on biomass growth and higher-alcohol production during syngas fermentation by Clostridium carboxidivorans P7. Bioresources and Bioprocessing, 2020, 7(1), 1-13.
[31] Cees Haringa, Wenjun Tang, Guan Wang, Amit T. Deshmukh, Wouter A van Winden, Ju Chu, Walter M van Gulik, Joseph J Heijnen, Robert Mudde and Henk J Noorman*. Computational fluid dynamics simulation of an industrial P. chrysogenum fermentation with a coupled 9-pool metabolic model: Towards rational scale-down and design optimization, Chemical Engineering Science, 2018, 175: 12-24.
[32] Wenjun Tang, Amit T. Deshmukh, Cees Haringa, Guan Wang, Walter van Gulik, Wouter van Winden, Matthias Reuss, Joseph J. Heijnen, Jianye Xia, Ju Chu* and Henk J. Noorman. A 9-pool metabolic structured kinetic model describing days to seconds dynamics of growth and product formation by Penicillium chrysogenum, Biotechnology and Bioengineering, 2017, 114: 1733-1743.
[33] 朱紫瑜，王冠，庄英萍*. 大规模哺乳动物细胞培养工程的现状与展望. 合成生物学，2021, 2, 1-23.
[34] 田锡炜，王冠，张嗣良，庄英萍*. 工业生物过程智能控制原理和方法进展. 生物工程学报，2019, 35(10), 2014-2024.
[35] 赵骏飞, 王冠, 吴宝峰, 储炬*, 张嗣良. 基于土壤农杆菌转化法高效构建高产产黄青霉 tps1 和tps2 敲除菌株. 中国医药工业杂志，2017, 48(9), 1293-1301.
撰写专著：
[1] Guan Wang, Ali Mohsin, Ju Chu, Yingping Zhuang, Siliang Zhang. Advances and prospects for advanced biomanufacturing, in Book “Scale-up and Chemical Process for Microbial Production of Plant-Derived Bioactive Compounds”, Academic press, 2024, 1-16.
[2] Guan Wang*, Cees Haringa, Ju Chu, Yingping Zhuang, Wouter van Winden, Henk Noorman. Harnessing dynamic metabolomics for bioprocess prediction and beyond. Handbook of Molecular Biotechnology, CRC press, 2024, 460-472.
[3] Xia JY, Guan Wang, Jihan Lin, Yonghong Wang, Ju Chu, Yingping Zhuang, SiLiang Zhang*. Advances and practices of bioprocess scale-up. Bioreactor Engineering Research and Industrial Applications II: Springer. 2015, p 137-151.
联系方式：
上海市徐汇区梅陇路130号 邮编200237
办公室：实验十八楼411室
电话：021-64250719
邮箱：guanwang@ecust.edu.cn