Our new collaboration with TeselaGen Biotechnology will lay the groundwork for deploying machine learning models on community-generated data to accelerate biomanufacturing and commercialization of bioproducts. Under terms of the collaborative research and development agreement, funded by the U.S. Department of Energy (DOE), TeselaGen will assist in the creation of a set of interoperable, data acquisition and sharing tools to enable machine learning in the fermentation process. The development of Phycus Biotechnology’s sustainable bioproduct alternatives to petroleum-based chemicals used in cosmetics will be used as a real-world test case.
This is one of six projects totaling over $5 million announced last month by DOE to conduct research and development needed to accelerate the U.S. biomanufacturing sector. Through the Agile BioFoundry, these projects will leverage national laboratory capabilities to address early-stage challenges in biomanufacturing.