Co-founder, Arc Institute; Assistant Professor of Bioengineering, UC Berkeley
Appears in 2 stories
Co-senior author on Evo 2
It took thirteen years and $2.7 billion to read the first human genome. Now a single AI model, trained on 9 trillion DNA base pairs from more than 128,000 species, can predict whether an uncharacterized mutation in a breast cancer gene is dangerous with 90 percent accuracy without being trained on that gene.
Updated May 30
Leading AI-driven genome editing and CRISPR research
Stanford and Arc Institute researchers used an AI called Evo to write genetic code for 302 bacteriophage viruses from scratch. Sixteen of them worked—they replicated, killed bacteria, and some even outperformed the natural virus they were modeled on. It's the first time a machine has designed complete, functional genomes without human input on gene selection or arrangement.
Updated May 19
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