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SynBioBeta Speaker

Andrew Han

GenomeWeb

Editor

Andrew P. Han is an editor at GenomeWeb, where he covers cutting-edge genomic science and technology. He has written about synthetic DNA, CRISPR, DNA sequencing, and bioinformatics — including new AI-based virtual cell models, among other topics.

SynBioBeta 2026 Tickets are Live

Confirmed Speakers

Sessions Featuring

Andrew

This Year

Breakout Session

3:30 PM

-

4:15 PM

Tools & Tech

Breaking the Barriers of DNA Synthesis: Shattering the Ceiling?

For decades, DNA synthesis has been the limiting reagent in synthetic biology — reliable for short sequences, but increasingly error-prone and costly as designs scale. That ceiling is now cracking. New enzymatic synthesis platforms, error-correction chemistries, and assembly pipelines are extending what’s possible, opening the door to rapid construction of full pathways, microbial genomes, and even mammalian chromosomes. This session will explore how innovators are breaking past barriers, what technical and economic breakthroughs are needed next, and how longer, cheaper, and faster synthesis could fundamentally change how we design biology at scale.

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Breakout Session

3:30 PM

-

4:15 PM

Tools & Tech

Breaking the Barriers of DNA Synthesis: Shattering the Ceiling?

For decades, DNA synthesis has been the limiting reagent in synthetic biology — reliable for short sequences, but increasingly error-prone and costly as designs scale. That ceiling is now cracking. New enzymatic synthesis platforms, error-correction chemistries, and assembly pipelines are extending what’s possible, opening the door to rapid construction of full pathways, microbial genomes, and even mammalian chromosomes. This session will explore how innovators are breaking past barriers, what technical and economic breakthroughs are needed next, and how longer, cheaper, and faster synthesis could fundamentally change how we design biology at scale.

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TBD

Session lineup still growing

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Featuring

Speaker Coming Soon

Fireside Chat

12:00 AM

-

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