Harrison Steel

This study shows ML-assisted directed evolution improves AAV capsid manufacturing efficiency 41-fold compared to directed evolution alone.

This paper introduces SLIDE, a method to estimate landscape ruggedness in directed evolution using population-level phenotypic data and mutation rate, improving selection strategies for protein design.

This study designs, builds, and quantitatively characterizes synthetic sponge RNAs in E. coli, revealing their ability to tune gene expression and provide a quantitative framework for spRNA-mediated regulation.

This paper introduces a closed-loop control system to stabilize phage-bacteria coevolution, preventing extinction or dominance by one species.

The paper develops a platform for producing functionalised PHA nanoparticles using C. necator, demonstrating customisable material properties and bioprocess improvements.

This paper uses a generative model to design synthetic gene circuits that achieve specific functional and evolutionary properties.

This paper introduces engineered magneto-sensitive fluorescent proteins that enable quantum sensing in living cells through optically detected magnetic resonance.

The paper engineers AAV9 capsids to enhance extracellular vesicle loading through rational design and directed evolution, achieving up to threefold increased EV-AAV yield and improved transduction efficiency.

This paper introduces a protocol for characterising genetic circuits using feedback control to predict their performance when combined with other components.

This paper introduces MiPS, a microfluidic platform for automated single-cell selection based on dynamic, multi-trait phenotypes using real-time imaging and optical targeting.

This paper introduces SIMPLIFE, a computational workflow for designing optimal insertion sites for conjugation tags in proteins, demonstrating its use in augmenting T7 RNA polymerase function.

This study optimizes a genome editing system for Cupriavidus necator H16, achieving high editing efficiency using an improved SIBR-Cas system.

This paper designs a biomolecular controller to reduce mutation spread in engineered cell populations by linking mutant growth to circuit design parameters through resource-aware modeling.

This paper develops selection strategies for directed evolution without sequencing, showing they can increase the probability of finding the global fitness peak by up to 7.5 fold.

This paper demonstrates a cybernetic control method for microbial co-cultures using temperature adjustments to stabilize composition without genetic engineering.

The paper enhances the Chi.Bio bioreactor with pH control, demonstrating its effectiveness in PET hydrolysis with reduced enzyme requirements.

This paper develops optimal control strategies for microbial evolution by manipulating selective pressures to maximize adaptation rates, supported by simulations and experimental data.

The paper introduces a CRISPR-based regulatory architecture that combines positive and negative regulation to improve robustness and modularity in synthetic gene circuits by mitigating resource competition crosstalk.

The paper presents a coarse-grained E. coli cell model to analyze and design synthetic gene circuits by capturing resource couplings and growth regulation mechanisms.

This paper introduces a new feedback mechanism for synthetic biology, dichotomous feedback, which uses signal sequestration to improve robustness and reduce noise in biological systems.

The paper develops an aspirin-inducible gene circuit in E. coli and SimCells, showing dose-dependent induction and competitive binding of SalR variants.

This paper designs and builds two synthetic negative feedback circuits using engineered small RNAs, showing they can fine-tune output and reduce noise compared to traditional protein-based systems.

This paper introduces Ribo-attenuators, a novel genetic element that improves the modularity and reliability of riboswitches in bacteria by reducing expression variation and contextual sensitivity.