Davide Salzano

This paper introduces a genetic feedback control strategy for microorganisms to self-regulate population density using quorum sensing and an antithetic controller.

The paper develops a platform to infer digital twins of light-responsive microorganisms using imaging data, enabling accurate simulation of their movement behaviors.

The paper models a multicellular antithetic integral controller to assess metabolic burden effects and compares it to a single-cell implementation using numerical analysis and simulations.

The paper designs a multicellular PID controller using root contours for tuning control gains and validates it through in silico simulations.

The paper develops a multicellular PID control strategy using engineered cell populations and validates its robustness through in silico experiments.

This paper introduces a dual chamber bioreactor system to maintain stable coexistence of microbial populations with differing growth rates through feedback control.

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

This paper designs a multicellular PD controller for gene expression regulation in microbial consortia using in silico experiments.

The paper develops a control strategy to balance cell phenotypes in microbial consortia using reversible memory mechanisms and validates it through simulations.

This paper introduces Control-Based Continuation (CBC) for analyzing synthetic gene networks, showing it can track bifurcation curves without relying on mathematical models and can identify bistability.

The paper develops a feedback control strategy using a tunable expression system and quorum sensing to regulate bacterial population density.

The paper designs multicellular PI controllers for gene regulation in microbial consortia using orthogonal quorum sensing and validates them through in silico 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 designs a synthetic microbial consortium with three cell populations to control a bistable toggle-switch in target cells through orthogonal quorum sensing feedback.

This paper proposes feedback control strategies to robustly balance synthetic toggle switch cell populations under stochastic and uncertain conditions using in-silico experiments and agent-based simulations.