Chao Wu


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Chao Wu's research includes evaluation of the thermodynamic feasibility and metabolic robustness of engineered metabolic pathways, which is used to identify potential metabolic bottlenecks and flux control sites for enhanced biofuel productivity. The computational tools he develops help to decipher the intracellular fluxomics in response to genetic modifications and growth environment perturbations. Parts of his ongoing research develop metabolic models and estimate cellular resource allocation in response to harsh bioproduction conditions during the production of biofuels and bioproducts. In addition, he also works on the automation of techno-economic analysis of biofuel production pathways leveraging machine learning methods. 

Research Interests

Computational tools development for metabolic flux analysis

Thermodynamics and robustness analysis for pathways design

Machine learning for systems biology

Biochemical process simulation and optimization

Bioinformatics and computational biology

Professional Experience

Postdoctoral Researcher, NREL (2018–2021)

Senior Bioinformatics Engineer, Megagenomics Co., Ltd. (2016–2018)

Education/Academic Qualification

Bachelor, Kinesiology, Beijing Sport University

PhD, Biology, Tsinghua University


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