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SynBioBeta Speaker

Rolando Perez

Stanford University

Senior Scientist

Dr. Rolando Perez (he/him) is a transdisciplinary practitioner focused on AIxBio, Solidarity Bioeconomy, Indigenous Biotechnology, and Sovereign Technology. He holds leadership positions at Stanford University, Blue Marble Space at NASA Ames Research Center, and Open Fung.

SynBioBeta 2026 Tickets are Live

Confirmed Speakers

Sessions Featuring

Rolando

This Year

Breakout Session

3:30 PM

-

4:15 PM

Business of Biology

Decentralized Biology: Designing Community-Scale Bioeconomies

How can local communities benefit from biotechnology? This session explores strategies for building decentralized biotech ecosystems that support local innovation, shared ownership, and resilient bioeconomies. By aligning biotechnology with planetary stewardship and place-based knowledge, we highlight a new era of bio-based products and initiatives led by founders bringing their culture and community into biotechnology.

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Breakout Session

3:30 PM

-

4:15 PM

Business of Biology

Decentralized Biology: Designing Community-Scale Bioeconomies

How can local communities benefit from biotechnology? This session explores strategies for building decentralized biotech ecosystems that support local innovation, shared ownership, and resilient bioeconomies. By aligning biotechnology with planetary stewardship and place-based knowledge, we highlight a new era of bio-based products and initiatives led by founders bringing their culture and community into biotechnology.

Get a Ticket

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