David R. McMillen

The paper generates synthetic 5'-UTR sequence libraries for non-model organisms using a language model trained on genomic statistics, showing effective translation modulation without prior knowledge.

The paper identifies two optimization approaches for designing near-homeostasis systems and introduces inverse homeostasis plots to uncover novel mechanisms.

This paper develops a framework to enhance the signal-to-noise ratio in quantitative fluorescence microscopy by optimizing camera parameters and microscope settings.

The paper develops a framework to implement nearly-homeostatic biological networks by analyzing parameter impacts and using feedback-free systems to approximate steady-state responses.