Research Interest
Develop novel constraint optimization algorithms and AI algorithms based on digital cell mechanism models and industrial biotechnology big data to enhance strain productivity, substrate utilization efficiency, and high-throughput construction efficiency.
Education & Professional Experience
1、Education Background
2008.09-2012.06, Beijing University of Chemical Technology, Chemical Engineering, Bachelor’s Degree.
2012.01-2013.09, University College Dublin, Chemical and Bioprocess Engineering, Master’s Degree
20115.010-2016.10, University College Dublin, Chemical Engineering, Visiting Scholar
2014.09-2019.12, Beijing University of Chemical Technology, Life Science and Technology, Ph.D.
2、Work Experience
2020.04-2025.09, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences. Research Assistant
2025.09 to Present, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences.,Biodesign Centre,Associate Researcher
Honors and Awards
Selected for the Fourth Edition of the Chinese Academy of Sciences’ “Master Craftsmen (Teams) in Science” in 2023: Engineering Microorganism Casting Scientific Facilities Team
Selected Publications
Published over 20 articles in domestic and international journals. Applied for 3 invention patents. Representative papers from the past 5 years:
- Cai, J.#; Liu, J.; Wei, F.; Wu, W.; Xu, W.; Wang, Y.; Yuan, Q.; Ma, H*. Exploring Biomass Precursor Synthesis as a Determinant in Microbial Adaptation to Unadapted Carbon Sources. Research 2025, https://doi.org/10.34133/research.0881.
- Xu, W.#; Cai, J.#; Wu, W.; Yuan, Q.; Mao, Z.; Ma, H. Improving Metabolic Engineering Design with Enzyme-Thermo Optimization. Metab Eng 2025, 91, 356–365.
- Wei, F.#; Cai, J.#; Mao, Y.; Wang, R.; Li, H.; Mao, Z.; Liao, X.; Li, A.; Deng, X.; Li, F.; Yuan, Q.; Ma, H. Unveiling Metabolic Engineering Strategies by Quantitative Heterologous Pathway Design. Advanced Science 2024, 11 (45)
- Cai, J.#; Liao, X.; Mao, Y.; Wang, R.; Li, H.; Ma, H. Designing Gene Manipulation Schedules for High Throughput Parallel Construction of Objective Strains. Biotechnol J 2023, 18 (9)
- Cai, J.#; Tan, T.; Chan, S. H. J. Predicting Nash Equilibria for Microbial Metabolic Interactions. Bioinformatics 2020, 36 (24)