Leveraging Machine Learning & Automation to Systematically Guide Synthetic Biology

Time: 12:00 pm
day: Day Two


  • Leveraging machine learning to recommend synthetic biology targets, as an effective tool to predicts biological system behavior, empowering the learn phase of the Design-Build-Test-Learn (DBTL) cycle
  • Using machine learning to predict biological system behavior and guide thesynthetic biology process without the need of a detailed mechanistic understanding
  • Exploring the current limitations of machine learning and the future needs of the field