SynBioBeta Speaker
Eric Nguyen
Radical Numerics
Co-founder & CEO
I work on genomic foundation models. I co-created Evo and Evo 2.With my team at Radical Numerics, we're building the next-generation of models to unify every modality of biology into a single learning system, including DNA, RNA, proteins, epigenomics, metabolomics, and every -omic.
SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
Eric
This Year
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Human Health
Synthetic Evolution: Reprogramming Genomes to Accelerate Biological Discovery
For billions of years, evolution has been biology’s most powerful search engine. Now researchers are beginning to redesign that engine itself. From orthogonal replication systems like OrthoRep to synthetic genomes, programmable mutation systems, and continuous evolution platforms, new tools are making it possible to evolve biological function with unprecedented speed, control, and scale. This session explores how synthetic evolution is becoming a core technology of programmable biology. Speakers will examine how engineered replication, genome-scale design, and AI-informed selection strategies are expanding the range of molecules, pathways, and phenotypes that can be discovered in the lab. By moving from passively observing evolution to actively directing it, scientists are opening a new frontier where genomes are not just edited, but built and evolved as programmable systems.
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•
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Human Health
Synthetic Evolution: Reprogramming Genomes to Accelerate Biological Discovery
For billions of years, evolution has been biology’s most powerful search engine. Now researchers are beginning to redesign that engine itself. From orthogonal replication systems like OrthoRep to synthetic genomes, programmable mutation systems, and continuous evolution platforms, new tools are making it possible to evolve biological function with unprecedented speed, control, and scale. This session explores how synthetic evolution is becoming a core technology of programmable biology. Speakers will examine how engineered replication, genome-scale design, and AI-informed selection strategies are expanding the range of molecules, pathways, and phenotypes that can be discovered in the lab. By moving from passively observing evolution to actively directing it, scientists are opening a new frontier where genomes are not just edited, but built and evolved as programmable systems.
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Session lineup still growing
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Featuring
Speaker Coming Soon
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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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Speaker Coming Soon
