SynBioBeta Speaker
Adrian Woolfson
Genyro
President and CEO
Adrian Woolfson is the co-founder of Genyro, a California-based biotechnology company specialising in AI-augmented synthetic genome design and construction. Born in London, he studied medicine at Balliol College, Oxford, molecular genetics at Gonville and Caius College Cambridge, and was formerly the Charles and Katherine Darwin Research Fellow at Darwin College, Cambridge, where he worked with Nobel Prize Winer César Milstein in the Division of Protein and Nucleic Acid Chemistry at the MRC Laboratory of Molecular Biology. He is the author of the critically acclaimed Life Without Genes: The History and Future of Genomes and An Intelligent Person’s Guide to Genetics. He has authored over 160 scientific papers, book chapters, reviews, and patents, contributed to multiple publications including the Washington Post, Nature, The Spectator, The Literary Review, Prospect Magazine, The Times Literary Supplement, London Review of Books, and Financial Times, and is a regular contributor to the Wall Street Journal and Science magazine. He currently lives in San Francisco.
SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
Adrian
This Year
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Tools & Tech
Spotlight Talk Brought to you By Genyro
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Tools & Tech
Spotlight Talk Brought to you By Genyro
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Session lineup still growing
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Human Health
From Cells to Patients: Solving the Scale Mismatch in Virtual Biology
Drug discovery often measures biology at the cell level while interventions work at the tissue, organ, or whole-patient scale. This mismatch can make accurate cell-level predictions irrelevant in the clinic. This session dives into strategies to bridge that gap: multiscale modeling that nests single-cell dynamics within organ-level simulations, spatial transcriptomics that preserve context, and surrogate models that translate cell-level outputs into clinical biomarkers. Speakers will ask: how do we ensure virtual biology reflects not just what cells do in isolation, but how biology behaves in the real complexity of patients?
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