AI for Genomic Design Automation is coming! We combine ultra-high throughput screening with multi-modal transformer based models to revolutionize how we understand and design cells. Check out our open roles: https://lnkd.in/gXn7pHjW Follow-us for more updates on this exciting journey.
In 1981, the DoD funded a program to standardize the description of integrated circuits. That language (VHDL) became the underpinning of Electronic Design Automation (EDA). EDA uses physical models to allow for the automated design of integrated circuits. It’s the computational tool that makes modern chips possible. Today, BioMADE has funded Triplebar to build AI models for design automation of cells. We call this Genomic Design Automation (GDA), and it holds the promise of abstracting the design of biological systems. Imagine a world where genetic engineers can specify the outcomes they want, not the base pairs, and these are translated into feasible genetic designs that create valuable phenotypes with predictable success. I’ve been wanting this tool to exist for 2 decades. It’s coming. Grateful to BioMADE, our collaborator Yun S. Song at University of California, Berkeley, and additional funding from National Science Foundation (NSF), for helping make this happen. Read the PR here: https://lnkd.in/ghbS9w6h