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February 4, 2021 – Building Better Biology with SynBio and Machine Learning – The Best Model of a Cat Is Several Cats – Claes Gustafsson, PhD

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Machine Learning (ML) in conjunction with synthetic biology allows for efficient biological engineering using the same approach as Google’s use of ML to optimize search, and Autodesk’s to design buildings. Real world examples will be used to illustrate how we use statistical and synbio tools to build better genes, proteins, vectors, and cell lines to cure COVID, make better cheese, and break down toxic chemicals. 

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ATUM is a bioengineering company based in Newark CA. As ATUM’s Co-Founder and Chief Commercial Officer, Dr. Claes Gustafsson’s scientific expertise is focused on translation, machine learning and protein engineering with the aim of building an industrial scale integrated platform that allow for the mapping of sequence-function relationships in biology. Prior to co-founding ATUM in 2003, Dr. Gustafsson led the Bioinformatics team for protein engineering at Maxygen (1998-2003) and was Scientist at early synthetic biology company Kosan (1995-1998). Before moving to industry, he held positions at UC Santa Cruz and UC San Francisco. Dr Gustafsson received his Ph.D. in 1992 from the University of Umeå, Sweden. Dr. Gustafsson holds 45 issued U.S. patents and has published ~50 scientific papers.