Engaged in research primarily focused on the construction of high-precision simulation data models for crucial physiological processes in chassis cells, as well as the development of web tools guiding cellular design. Achievements include the construction and analysis of cellular models, the development of knowledge bases for specific microbial strains, and the design of targets for pathway and metabolic engineering.

- Since September 2023, Associate Researcher, Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin.

- July 2022 - September 2023, Assistant Researcher, Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin.

- January 2020 - July 2022, Postdoctoral Researcher, Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin.

- September 2013 - January 2020, Ph.D., University of Chinese Academy of Sciences.

- September 2008 - June 2013, Bachelor's degree, Harbin Medical University.

1. Mao, Z.#, Yuan, Q.#, Li, H.#, Zhang, Y., Huang, Y., Yang, C., Wang, R., Yang, Y., Wu, Y., Yang, S., Liao, X.*, Ma, H.* (2023) CAVE: a cloud-based platform for analysis and visualization of metabolic pathways. Nucleic Acids Research, 51, W70-W77.

2. Mao, Z.#, Wang, R.#, Li, H.#, Huang, Y., Zhang, Q., Liao, X.* and Ma, H.* (2022) ERMer: a serverless platform for navigating, analyzing, and visualizing Escherichia coli regulatory landscape through graph database. Nucleic Acids Research, 50, W298-W304.

3. Yang, X.#, Mao, Z.#, Zhao, X., Wang, R., Zhang, P., Cai, J., Xue, C. and Ma, H.* (2021) Integrating thermodynamic and enzymatic constraints into genome-scale metabolic models. Metabolic Engineering, 67, 133-144.

4. Wu, K.#, Mao, Z.#, Mao, Y., Niu, J., Cai, J., Yuan, Q., Yun, L., Liao, X., Wang, Z.* and Ma, H*. (2023) ecBSU1: A Genome-Scale Enzyme-Constrained Model of Bacillus subtilis Based on the ECMpy Workflow. Microorganisms, 11, 178.

5. Niu, J., Mao, Z.*, Mao, Y., Wu, K., Shi, Z., Yuan, Q., Cai, J. and Ma, H.* (2022) Construction and Analysis of an Enzyme-Constrained Metabolic Model of Corynebacterium glutamicum. Biomolecules, 12, 1499.

6. Mao, Z.#, Zhao, X.#, Yang, X., Zhang, P., Du, J., Yuan, Q. and Ma, H.* (2022) ECMpy, a Simplified Workflow for Constructing Enzymatic Constrained Metabolic Network Model. Biomolecules, 12, 65.

7. Mao, Z.#, Yang, P.#, Liu, H.#, Mao, Y., Lei, Y., Hou, D., Ma, H.*, Liao, X.* and Jiang, W*. (2022) Whole-Genome Sequencing and Analysis of the White-Rot Fungus Ceriporia lacerata Reveals Its Phylogenetic Status and the Genetic Basis of Lignocellulose Degradation and Terpenoid Synthesis. Frontiers in Microbiology, 13, 880946.

8. Mao, Z., Huang, T., Yuan, Q. and Ma, H.* (2021) Construction and analysis of an integrated biological network of Escherichia coli. Systems Microbiology and Biomanufacturing, 2, 165-176.

9. Yang, X., Mao, Z., Huang, J., Wang, R., Dong, H., Zhang, Y.* and Ma, H.* (2023) Improving pathway prediction accuracy of constraints-based metabolic network models by treating enzymes as microcompartments. Synthetic and Systems Biotechnology, 8, 597-605.

10. Zhao, J.#, Sun, X.#, Mao, Z., Zheng, Y., Geng, Z., Zhang, Y., Ma, H.* and Wang, Z.* (2023) Independent component analysis of Corynebacterium glutamicum transcriptomes reveals its transcriptional regulatory network. Microbiological Research, 276, 127485.

11. Gao, Y., Yuan, Q., Mao, Z., Liu, H.* and Ma, H.* (2021) Global connectivity in genome-scale metabolic networks revealed by comprehensive FBA-based pathway analysis. BMC Microbiology, 21, 292.

12. Yun, L., Wu, T., Mao, Z., Li, W., Zhang, M.* and Sun, X.* (2020) A novel wheat germ polysaccharide: Structural characterization, potential antioxidant activities and mechanism. International Journal of Biological Macromolecules, 165, 1978-1987.

13. Shi, Z., Deng, R., Yuan, Q., Mao, Z., Wang, R., Li, H., Liao, X.* and Ma, H.* (2023) Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework. Research, 6, 0153.

14. Zhang, Z., Cui, M., Chen, P., Li, J., Mao, Z., Mao, Y., Li, Z., Guo, Q., Wang, C., Liao, X. et al. (2023) Insight into the phylogeny and metabolic divergence of Monascus species (M. pilosus, M. ruber, and M. purpureus) at the genome level. Frontiers in Microbiology, 14, 1199144.

15. Yuan, Q., Wei, F., Deng, X., Li, A., Shi, Z., Mao, Z., Li, F. and Ma, H.* (2023) Reconstruction and metabolic profiling of the genome-scale metabolic network model of Pseudomonas stutzeri A1501. Synthetic and Systems Biotechnology, 8, 688-696.

16. Wang, P., Zhao, D., Li, J., Su, J., Zhang, C., Li, S., Fan, F., Dai, Z., Liao, X., Mao, Z., Bi, C.*，

Zhang, X*. (2023) Artificial Diploid Escherichia coli by a CRISPR Chromosome-Doubling Technique. Advanced Science, 10, e2205855.

17. Zhang, H.#, Liu, H.#, Shu, L., Xu, H., Cheng, Y., Mao, Z., Liu, B., Liao, X.* and Huang, D.* (2022) Metabolomics Analysis Coupled with Weighted Gene Co-Expression Network Analysis Unravels the Associations of Tricarboxylic Acid Cycle-Intermediates with Edible Pigments Produced by Monascus purpureus (Hong Qu). Foods, 11, 2168.

18. Su, J.#, Wang, P.#, Li, J.#, Zhao, D., Li, S., Fan, F., Dai, Z., Liao, X., Mao, Z., Zhang, C. Zhang, C.*, Bi, C.*, Zhang, X.* (2022) A CRISPR-based chromosomal-separation technique for Escherichia coli. Microbial Cell Factories, 21, 235.

19. Shi, Z., Liu, P., Liao, X., Mao, Z., Zhang, J., Wang, Q., Sun, J., Ma, H.* and Ma, Y.* (2022) Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing. BioDesign Research, 2022, 9898461.

20. Ding, D., Bai, D., Li, J., Mao, Z., Zhu, Y., Liu, P., Lin, J., Ma, H. and Zhang, D.* (2021) Analyzing the genetic characteristics of a tryptophan-overproducing Escherichia coli. Bioprocess and Biosystems Engineering, 44, 1685-1697.

1. Principal Investigator for the National Natural Science Foundation of China (NSFC) Young Scientists Fund Project: "Data-Driven Construction of High-Precision Multi-Constrained Metabolic Network Models" (Grant No. 32300529).

2. Participating as a key member (sub-project leader) in the National Key Research and Development Program "Green Biomanufacturing" Special Project: "New Technologies and Process Intensification for Industrial Biological Carbon Sequestration Based on Chemical Synthesis" (Project No. 2022YFC2106000).