Claire Suzanne Grierson

The paper develops a workflow combining robotics, nanopore sequencing, and computational tools to characterize recombinase-based genetic circuits efficiently and at high resolution.

This paper develops a distributed feedback control system in microbial consortia to precisely regulate gene expression across different cell populations.

The paper tests theoretical minimal genomes for Mycoplasma genitalium using a whole-cell model, finding that simulated minimal gene sets fail to produce dividing cells, highlighting the need for species-specific low essential gene identification.

Cheetah is a computational toolkit that integrates real-time microscopy analysis with cellular control algorithms, demonstrating improved segmentation accuracy over thresholding methods in bacterial and mammalian cells.

This paper develops stringent gene expression systems by regulating both transcription and translation, achieving high induction ratios and reduced leakiness in both in vivo and cell-free systems.

ChipSeg segments bacterial and mammalian cells in microfluidic devices using thresholding, enabling fluorescence quantification and cell tracking in time-lapse experiments.

The paper demonstrates real-time feedback control of a molecular titration motif in E. coli using microfluidics and validates the approach with in silico simulations.

The paper presents an analysis pipeline using machine learning and network analysis to interpret metabolic reaction fluxes from gene knockouts in a whole-cell model of Mycoplasma genitalium.

The paper introduces PyGDS, a Python framework for in-silico genome design that enables large-scale experiments across different computational clusters.

The paper presents algorithms for genome design using whole-cell models, discovering smaller minimal genomes for Mycoplasma genitalium than previously known.

The paper describes a low-cost, open-source turbidostat for in-vivo control experiments in synthetic biology and reports results from a 3-hour optical density control experiment.

The paper analyzes how feed-forward loop motifs are organized in networks, revealing architectural principles and their functional implications in Escherichia coli metabolic networks.