AI-First Strain Engineering for Yield Optimization & Cost Reduction
- Examining the main challenges in using publicly available data and trained AI models for strain engineering
- Collecting proprietary datasets to increase the accuracy of model yield predictions
- Developing a repeatable experimental-computational pipeline for strain discovery