SynBioBeta Speaker

Matthew Osman

Polyphron

Co-Founder & CEO

Matthew Osman is the Co-Founder and CEO of Polyphron, a New York–based company building the world’s first personalized tissue foundry. Polyphron combines AI-guided morphogenesis models, automated wet-lab execution, and patient-derived iPSCs to manufacture functional human tissues on demand, with the goal of shifting medicine from managing chronic decline to structurally restoring and ultimately enhancing human physiology.Before Polyphron, Matthew founded Legit, an AI-powered expert network and talent platform for life sciences that matched biopharma companies with on-demand expertise and was acquired by Clora in 2021. He also founded Treat AI, an AI marketing and personalization platform whose technology for generating tailored visual content was acquired by Typeface, an enterprise generative AI company, in 2024.At Polyphron, he now leads the effort to turn developmental biology into an engineerable, model-driven process, aiming to make tissue replacement a scalable, routine pillar of healthcare.

SynBioBeta 2026 Tickets are Live

Confirmed Speakers

Sessions Featuring

Matthew

This Year

Spotlight Talk

2:10 PM

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2:15 PM

Spotlight Talk Brought to by Polyphron

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Spotlight Talk

2:10 PM

-

2:15 PM

Spotlight Talk Brought to by Polyphron

Purchase Pass

TBD

Session lineup still growing

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Featuring

Speaker Coming Soon

Fireside Chat

12:00 AM

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8:30 AM

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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Featuring

Speaker Coming Soon

Previous Speakers Include