Contact

  • Academic
    alewis23@stanford.edu
    University - Student Department: Med/BMIR Position: Graduate
    University - Staff Department: Women's Outdoor Track & Field Program Position: Track and Field Camp Counselor

Additional Info

  • Mail Code: 6150

All Publications

  • Sequence modeling and design from molecular to genome scale with Evo. Science (New York, N.Y.) Nguyen, E., Poli, M., Durrant, M. G., Kang, B., Katrekar, D., Li, D. B., Bartie, L. J., Thomas, A. W., King, S. H., Brixi, G., Sullivan, J., Ng, M. Y., Lewis, A., Lou, A., Ermon, S., Baccus, S. A., Hernandez-Boussard, T., Re, C., Hsu, P. D., Hie, B. L. 2024; 386 (6723): eado9336

    Abstract

    The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an organism's function. We present Evo, a long-context genomic foundation model with a frontier architecture trained on millions of prokaryotic and phage genomes, and report scaling laws on DNA to complement observations in language and vision. Evo generalizes across DNA, RNA, and proteins, enabling zero-shot function prediction competitive with domain-specific language models and the generation of functional CRISPR-Cas and transposon systems, representing the first examples of protein-RNA and protein-DNA codesign with a language model. Evo also learns how small mutations affect whole-organism fitness and generates megabase-scale sequences with plausible genomic architecture. These prediction and generation capabilities span molecular to genomic scales of complexity, advancing our understanding and control of biology.

    View details for DOI 10.1126/science.ado9336

    View details for PubMedID 39541441

  • AI and biosecurity: The need for governance. Science (New York, N.Y.) Bloomfield, D., Pannu, J., Zhu, A. W., Ng, M. Y., Lewis, A., Bendavid, E., Asch, S. M., Hernandez-Boussard, T., Cicero, A., Inglesby, T. 2024; 385 (6711): 831-833

    Abstract

    Governments should evaluate advanced models and if needed impose safety measures.

    View details for DOI 10.1126/science.adq1977

    View details for PubMedID 39172825