Advancing from Standard DoE to Active Learning to Select Appropriate Experiments for Strain Optimization

Time: 10:00 am
day: Conference Day One


  • Leveraging synthetic biology and advanced tools to minimize experimentation and enhance efficiency in the strain optimization process
  • Optimizing existing data to inform machine learning models for fit-for-purpose design of experiments
  • Understanding how to best adopt comparison of experiments parameters to streamline engineering speed