Taking synthetic biology to large scales
We work towards laboratory automation
Our objectives
![](https://carbonelllab.org/wp-content/uploads/2023/03/Icon_bacteria.png)
Determine the extended metabolic design space
We will determine the number of production circuits that can be plugged in a microbial host and the number of molecules that can be detected through biosensor circuits. The combination of both will lead us to find out the potential regulated pathways that a microbe can host.
![](https://carbonelllab.org/wp-content/uploads/2023/03/icon_smartbiofab_1.png)
Build machine learning-based response models
We will develop context-aware dynamic models to control the synthetic metabolic pathways, and these models will be regulated with feedback control loops
![](https://carbonelllab.org/wp-content/uploads/2023/03/icon_smartbiofab2.png)
Develop design tools for automated assembly
We will generate assembly instructions for liquid-handling robots integrated in the design, build, test and learn cycle. In addition, we will develop a computer-aided design platform for dynamically regulated pathways based on optimal experimental design.