 This paper proposes a new method for optimizing gene circuits. It uses predictive modeling to identify optimal parameters for a complex three gene circuit. This method involves generating a large library of sensor circuits using different genetic building blocks, then testing them against a set of criteria. The results are then used to validate the model, which enables further experimentation such as reprogramming or integrating the biosensors into larger networks. Ultimately, this approach could enable the design of complex gene circuits without extensive prior knowledge. This article was authored by Yuke Shriver, Mary Arta, Nicholas Lapique, and others.