Katie J. Clowers

The paper develops a computational method to predict synthetic circuit robustness across growth conditions and validates it with experimental results in budding yeast.

The paper replicates yeast-based logic circuit design assessments using a high-throughput robotic framework, generating more flow cytometry data than the original study.

The paper introduces a machine learning model to predict whole-cell transcriptional responses to combinations of perturbations using data from single inducers.