High-fidelity production of complex large, functional DNAs and RNAs (such as aptamers and riboswitches).

Efficient production of >1 kilobase biosensor genes and circuits that may contain repeat elements for sensing multiple input signals.

Identify biosensors for molecules for which there are currently no biosensors.

Identify fast and reliable biosensor readouts for in vivo applications.

Engineer memory circuits to record the presence of metabolites and proteins and the intensity and duration of those signals.

Enable selective transfection/transduction and delivery of large biosensor sequences and circuits into host cells.

Genome mining for biosensors.

Identify design principles to incorporate these biosensors into different hosts.

Leverage machine learning technologies to facilitate deconvolution and identification of biosensor signals.