20152024

Research Activity per Year

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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

Metabolic modeling

Metabolic flux analysis and computational tool development

Metabolic robustness analysis of biosystems

Machine learning and deep learning in 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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