Grégory Batt

This paper introduces AutoGrowth, a method that links cell growth to protein secretion for single-cell screening in bioreactors, demonstrating its ability to identify favorable variants efficiently.

InSillyClo is a web application that automates and simplifies large-scale Golden Gate and MoClo cloning workflows by generating comprehensive data and user-defined workflows.

This study uses CRISPR interference to reduce antibiotic resistance in E. coli by targeting resistance genes without causing mutations.

The paper introduces ReacSight, a system for enhancing bioreactor arrays with automated measurements and reactive control, demonstrating its use in yeast cultures for gene expression control and competition assays.

The paper develops methods to infer parameters of stochastic biochemical models from single-cell perturbation data using likelihood approximations and Kalman filters, showing their effectiveness with high-frequency measurements.

The paper demonstrates that stochastic modeling of single-cell processes can predict population-level behavior of synthetic circuits without parameter adjustment.

This paper introduces a light-tunable differentiation system in yeast to create and control stable microbial consortia with custom functionalities.

MicroMator enables reactive microscopy experiments by integrating real-time data with machine learning for single-cell control and recombination.