Christopher A. Voigt

This paper introduces genetic devices for precise control of cell-type ratios and multicellular morphology in synthetic biology systems.

This paper models and minimizes dCas9 competition in CRISPRi-based genetic circuits to improve their performance and dynamic range.

The paper develops a chloroplast cell-free system to measure ribosome binding site strengths by testing a library of RBS variants and ranking them based on gene expression.

The paper identifies synthetic gene network-induced phenotypes by analyzing gene expression in E. coli and validates them through antibiotic resistance experiments.

This paper designs a synthetic genetic multi-bit counter using repressor-based circuits that can count input pulses modulo 2^N.

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

This paper develops a method to synthesize distributed Boolean circuits using diffusible small molecules, enabling scalable computation beyond single-cell limitations.

This paper develops genetically encoded magnetic nanoparticles for tumor imaging by incorporating pH-sensitive and targeting peptides, showing enhanced binding and MRI contrast in vitro and in vivo.

The paper develops 12 optimized small molecule sensors in E. coli to enable independent gene expression control with high induction and low background.