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    Challenges and Opportunities at the Nexus of Synthetic Biology, Machine Learning, and Automation

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    Date
    2020-11-13
    Author
    Zhao, Huimin
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    Abstract
    Inspired by the exponential growth of the microelectronic industry, my lab has been attempting to build a biofoundry that integrates biology, automation and artificial intelligence (AI)/machine learning for rapid prototyping and manufacturing of biological systems for synthesis of bioproducts ranging from chemicals to materials to therapeutic agents. In this talk, I will discuss the challenges and opportunities at the nexus of synthetic biology, machine learning, and automation and highlight a few of our accomplishments and the recently launched NSF AI research institute for molecular synthesis. Specifically, I will introduce three interconnected stories, including: (1) development of the Illinois Biological Foundry for Advanced Biomanufacturing (iBioFAB) for next-generation synthetic biology applications; (2) development of genome-scale engineering tools for rapid metabolic engineering applications, and (3) integration of biocatalysis and chemical catalysis for synthesis of value-added chemicals, which necessitates the development of AI-enabled synthesis planning and catalyst design tools.
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    http://hdl.handle.net/1853/63944
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    • IDEaS Seminars [9]

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