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Accelerate time of new molecules to market through automation and machine learning

  • Mike Fero, TeselaGen Biotechnology,
  • Nigel Mouncey, Joint Genome Institute (JGI),
  • Leigh Fritz, Arzeda

Developing bioprocesses for new products is still costly and time consuming. The ever-growing pool of available DNA sequences, new cutting-edge tools in automated discovery and protein/DNA design, machine learning approaches to big data analytics, the establishment of biofoundries and robotic automation are all poised to rapidly accelerate the pace of commercial development of new molecules and chassis strains that will form the backbone of the bioeconomy.

A panel of representatives from leading companies and national labs that are pushing the boundaries of synthetic biology to discover and design new molecules using large-scale sequencing, discovery and design of new functionalities, automation and machine learning and organism engineering will discuss how these tools will impact the bioeconomy, address regulatory challenges, and highlight breakthroughs and achievements being made now to scale R&D efforts to meet business goals and move molecules to market quickly.

  • Date:Wednesday, July 10
  • Time:10:15 AM - 11:30 AM
  • Location:308
  • Session Type:Breakout Session
  • BIO Track:Advances in Genome Editing and Genomics
Mike Fero
TeselaGen Biotechnology
Nigel Mouncey
Joint Genome Institute (JGI)
Leigh Fritz