The next century will be about learning how to design biology and program DNA, leading to a new generation of designers focused on biological systems.

We are training models inspired by evolutionary forces to connect biological sequences directly to their functions, leveraging the effects of natural selection through DNA mutations.

I believe biology is the most powerful manufacturing platform on the planet, and I want to use it to build innovative solutions.

The complexity of living organisms cannot be reduced to mere mechanical processes; they are dynamic systems with interdependent parts that evolve and adapt in ways machines cannot. No machine can autonomously write its own program; biological organisms have had billions of years to develop complexity and abilities that machines have yet to achieve.

We started with DNA because it is the fundamental information layer of life and where we have the most data available from the scientific community.

The future may involve programming proteins as a new form of technology, bridging the gap between computers and human health, which is currently underexploited. With advancements in machine learning, like AlphaFold, we can now predict how DNA sequences fold into proteins in just minutes, potentially revolutionizing how we build machines that interact with the human body and our environment.

Programming biology goes beyond drug development; it involves understanding how hormones can influence thoughts, feelings, and behaviors in powerful ways.

The model learns from vast datasets of genomic sequences, allowing it to identify biologically meaningful patterns that can lead to new insights in biology.

We're exploring directed evolution of bacteria to produce various products, including biomaterials and therapeutics, using computational methods in a lab setting.