王 冠
生物工程专业：博士生导师/硕士生导师
生物学专业：博士生导师/硕士生导师
生物化工专业：博士生导师/硕士生导师
生物与医药专业（生物工程领域）：博士生导师/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）。担任上海市化学化工学会生物工程与技术专委会委员和上海市药学会抗生素专委会青年委员以及《Systems Microbiology and Biomanufacturing》，《Green Carbon》，《生物工程学报》等国际、国内学术期刊青年编委。
2012年9月进入华东理工大学攻读硕士学位，作为主要项目骨干参与完成中国-荷兰国际科技合作专项科研任务，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。2018年1月毕业于华东理工大学获生物化工专业博士学位，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。面向国家绿色发展战略与生物制造产业升级重大需求，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）等国家级基地，长期从事工业规模生物反应器多尺度过程优化与智能调控技术开发与应用基础研究，探究细胞代谢与反应器流场多维互作动态响应规律，开发基于细胞代谢模型-流体力学模型整合的工业生物过程理性放大新方法，为精准而高效地打通生物经济的“最后一公里”提供新思路。作为项目负责人，主持国家自然科学基金（面上、青年）、国家重点研发计划青年项目任务、国家重点研发计划子课题（2项）、上海市青年科技启明星计划项目、上海市自然科学基金项目（面上、青年）、上海市基础研究计划“探索者计划”项目、上海市促进人才发展专项（博士后）、山东省泰山学者青年项目等国家级、省部级项目11项及国药威奇达、安琪酵母、国投生物能源、上海昌进生物、上海东富龙生化试剂、苏州优艺生物等企业横向项目6项。在Trends in Biotechnology, Bioresource Technology, Biotechnology and Bioengineering, Synthetic and Systems Biotechnology, 中国科学院院刊，生物工程学报等生物技术与生物工程领域核心期刊上发表论文40篇，第一或通讯作者30篇，英文专著4章节，授权中国发明专利6项。
研究方向：
1. 生物反应器流场模拟与理性缩放
2. 生物过程多尺度优化与智能调控
3. 系统代谢工程改造与新产品开发
4. 细胞代谢动力学建模与组学分析
5. 代谢异质性机制解析与智能调控
主持科研项目或基金：
[1] 国家自然科学基金面上项目，项目负责人
[2] 上海市基础研究计划“探索者计划”项目，项目负责人
[3] 上海市自然科学基金青年项目，项目负责人
[4] 山东省泰山学者青年项目，项目负责人
[5] 国家重点研发计划青年科学家项目，任务负责人
[6] 上海市青年科技启明星计划A类，项目负责人
[7] “绿色生物制造” 国家重点研发计划，子课题负责人
[8] “绿色生物制造” 国家重点研发计划，子课题负责人
[9] 国家自然科学基金青年基金项目，项目负责人
[10] 上海市自然科学基金面上项目，项目负责人
[11] 上海市促进人才发展专项资金（博士后），项目负责人
[12] 上海昌进生物技术有限公司委托项目，项目负责人
[13] 安琪酵母股份有限公司委托项目，项目负责人
[14] 国药集团威奇达药业有限公司委托项目，项目负责人
[15] 上海东富龙生物试剂有限公司委托项目，项目负责人
[16] 国投生物能源（铁岭）有限公司委托项目，任务负责人
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；
[2] 本科生专业必修课，《生物反应工程原理》，48学时；
[3] 本科生专业必修课，《智能生物医药制造与设计（发酵工程）》，48学时；
[4] 研究生专业核心课，《生物反应器工程》，64学时；
[5] 研究生专业选修课，《生物反应工程》（全英文），32学时。
代表性论文（*通讯作者）：
[1]Zhihao Liu, Linghong Zheng, Xiaofei Yu, Yingping Zhuang, Guan Wang*. Multi-omics elucidation of resource allocation for enhanced ethanol production via precise glucose control in anaerobic Saccharomyces cerevisiae fermentation. Synthetic and Systems Biotechnology, 2026, 12, 20-31.
[2]Jiachen Zhao, Wenli Lin, Jing Yang, Gaoya Wang, Yongbo Wang, Mengyuan Chang, Xueting Wang, Muhammad Alkali Muawiya, Zejian Wang, Yingping Zhuang, Guan Wang*. Nonstationary 13C metabolic flux analysis reveals cryptic phenylacetic acid catabolism in glucose-limited Penicillium chrysogenum chemostat cultures. Bioresource Technology, 2026, 440, 133412.
[3]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, 122(9), 2366-2376.
[4]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.
[5]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.
[6]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.
[7]Xueting Wang, Qi Yang, Cees Haringa, Zejian Wang, Ju Chu, Yingping Zhuang, Guan Wang*. An industrial perspective on metabolic responses of Penicillium chrysogenum to periodic dissolved oxygen feast-famine cycles in a scale-down system. Biotechnology and Bioengineering, 2024, 121 (10), 3076-3098.
[8]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.
[9]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.
[10]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.
[11]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.
[12]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.
[13]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.
[14]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.
[15]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.
[16]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.
[17]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.
[18]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.
[19]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.
[20]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.
[21]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.
[22]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.
[23]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.
[24]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.
[25]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.
[26]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.
代表性专著：
[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.
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