Programming bacteria to detect cancer (and maybe treat it)
TED Talk · Tal Danino
Research
Our laboratory programs genetic circuitry inside cells to sense and respond to their environments, enabling new approaches to diagnostics and therapeutics. A major focus is engineering bacteria to treat cancer by specifically releasing therapeutic molecules directly within tumors. This localized drug delivery can reduce systemic toxicity while reprogramming the tumor microenvironment. We also develop cooperative therapies that combine engineered bacteria with modalities such as CAR-T cells, oncolytic viruses, and nanoparticles. In parallel, we use time-lapse microscopy, sequencing, and computational approaches to uncover how gene networks behave at the single-cell level and guide the design of next-generation engineered biological systems. Our ultimate goal is to translate these technologies into solutions that benefit patients and advance human and planetary health.
We engineer microbes as programmable living medicines that can localize to disease sites and deliver therapeutic payloads directly within the tumor microenvironment. Our work explores bacterial tumor targeting, controlled therapeutic release, and the design of strains that couple environmental sensing to local treatment.

We build synthetic gene circuits that allow living cells to sense biological signals, process information, and execute programmed responses. These systems provide a foundation for engineering microbes with increasingly precise spatial, temporal, and conditional control.
Representative publications

We develop therapeutic systems in which engineered microbes cooperate with other treatment modalities, including immune cells, oncolytic viruses, cytokines, and nanomedicines. These combinations are designed to exploit complementary mechanisms while concentrating activity at disease sites.

We use machine learning, artificial intelligence, data science, time-lapse microscopy, and sequencing to understand biological dynamics at the single-cell level. These quantitative approaches reveal how gene networks behave across space and time and help guide the design of next-generation living systems.
Representative publications

Introductory Videos
TED Talk · Tal Danino
TED-Ed · Tal Danino