Author

Daniel Guo

Arc Research InstituteORCID 0000-0002-8093-3331Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Approach:transformer / foundation model· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

Aditi T. MerchantiD· 3 shared Brian HieiD· 3 shared David B. LiiD· 2 shared Garyk BrixiiD· 2 shared Samuel H. KingiD· 2 shared Ali Taghibakshi· 1 shared Amy X. LuiD· 1 shared Anthony Beardsworth CostaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersSynthetic Biology

Aditi T. MerchantORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A high-level programming language for generative biology with Proto

Aditi T. Merchant, Daniel Guo, Ben T Viggiano, Lucas Brennan-Almaraz, Evelyn Hur, Tina Mai, Peter Yin, Samuel H. King, Euan Angus Ashley, Brian Hie

This paper introduces Proto, a high-level programming language for generative biology, and demonstrates its use in designing and validating biological systems.

bioRxiv · Jun 23, 2026 · PreprintSynthetic Biology

Generative design of novel bacteriophages with genome language models

Samuel H. King, Claudia L. Driscoll, David B. Li, Daniel Guo, Aditi T. Merchant, Garyk Brixi, Max E. Wilkinson, Brian Hie

Fine-tuned Evo 1 and Evo 2 genome language models designed complete ΦX174-like phage genomes; 16 of 285 assembled designs were viable, and some outperformed ΦX174 in competition.

bioRxiv · Sep 12, 2025 · PreprintSynthetic Biology✦ In-depth digest

Genome modeling and design across all domains of life with Evo 2

Garyk Brixi, Matthew G. Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A. Gonzalez, S. B. King, David B. Li, Aditi T. Merchant, Mohsen Naghipourfar, Eric Nguyen, Chiara Ricci-Tam, David W. Romero, Gwanggyu Sun, , Brian Hie

A 40B-parameter DNA model trained on 9.3 trillion tokens scores coding and noncoding variants zero-shot, exposes interpretable sequence features, and writes chromosome-scale sequences.

bioRxiv · Feb 18, 2025 · PreprintGenomics✦ In-depth digest