Dedicated to the automation, digitization, and intelligence of biomanufacturing processes, with a focus on the research of bioprocess engineering. The research areas include fermentation process optimization and scale-up, visualization and data science research of bioprocess big data, simulation of bioreactor flow fields, bioreactor design, numerical simulation of bioprocesses, and the development of rational scaling-up techniques for bioreactors. The specific research directions include:

- Data science in bioprocesses

- Data acquisition and visualization in bioprocesses

- Flow field research in bioreactors

- Development and application of novel reactors

- Optimization and scale-up techniques for fermentation processes

- Numerical simulation and intelligent control techniques for fermentation processes

- Omics big data analysis and modeling in fermentation processes

- Digital twin systems and intelligent control in fermentation processes

1999.9-2003.6 Tianjin University of Commerce, Engineering, Tianjin, China, Bachelor

2003.9-2008.6 East China University of Science and Technology, Bioengineering School, Shanghai,China, PhD

2008.7-2015.8 Bioengineering School, East China University of Science and Technology, Shanghai, China, Lecturer

2015.9-2021.6 Bioengineering School, East China University of Science and Technology, Shanghai, China, Associate Professor

2016.1-2017.1 Jens Nielsen Lab, Chalmers University of Technology, Sweden, Visiting Scholar

Since 2021.7 Intelligent Biomanufacturing Center, TIB, Tianjin, China, Professor

1. Min Chen, Tingting Xie, Huan Li, Yingping Zhuang, Jianye Xia*, Jens Nielsen*. Yeast increases glycolytic flux to support higher growth rates accompanied by decreased metabolite regulation and lower protein phosphorylation. PNAS, 2023 Jun 20;120(25):e2302779120.

2. Siqian Yu, Ge Zhang, Qi Liu, Yingping Zhuang, Zongjie Dai*, Jianye Xia*. Construction and testing of Yarrowia lipolytica recombinant protein expression chassis cells based on the high-throughput screening and secretome. Microbial Cell Factory, 22, 185 (2023).

3. Meng Fan, Jianye Xia, Yingping Zhuang, 2023, Micro-electrochemical DO sensor with ultra-micropore matrix fabricated with femtosecond laser processing successfully applied in on-line DO monitoring for yeast culture, Biotechnology Letters, 45:449-461.

4. Tingting Xie, Min Chen, Jens Nielsen, Jianye Xia*, 2022, Multi-omics analysis of the transition to the Crabtree effect in S. cerevisiae reveals a key role for the citric acid shuttle, FEMS Yeast Research, 22(1):foac030.

5. Jianye Xia, Benjamin J. Sánche, Yu Chen, Kate Campbell, Sergo Kasvandik, Jens Nielsen*, 2022, Proteome allocations change linearly with the specific growth rate of Saccharomyces cerevisiae under glucose limitation, Nature Communications, 13: 2819.

6. Peng Liu, Ye Hua, Wei Zhang, Tingting Xie, Yingping Zhuang*, Jianye Xia*, Henk Noorman, 2021, A new strategy for dynamic metabolic flux estimation by integrating transient metabolome data into genome-scale metabolic models, Bioprocess and Biosystems Engineering, 44, 2553–2565.

7. Peng Liu, Shuai Wang, Chao Li, Yingping Zhuang, Jianye Xia*, Henk Noorman, 2021，Dynamic response of Aspergillus niger to periodical glucose pulse stimulus, Biotechnology and Bioengineering, 118(6):2265-2282.

8. Jingru Zhou, Yingping Zhuang, Jianye Xia*, 2021, Integration of enzyme constraints in a genome-scale metabolic model of Aspergillus niger improves phenotype predictions, Microbial Cell Factories, 20: 125.

9. Chao Li, Xiaonuo Teng, Huadong Peng, Xiaoping Yi, Yingping Zhuang, Siliang Zhang, Jianye Xia*, 2020, Novel scale-up strategy based on three-dimensional shear space for animal cell culture, Chemical Engineering Science, 212, 115329.

10. Shuai Wang, Peng Liu, Wei Shu, Chao Li, Huan Li, Shanshan Liu, Jianye Xia*, Henk Noorman, 2019, Dynamic response of Aspergillus niger to single pulses of glucose with high and low concentrations, Bioresources and Bioprocessing, 6(16).