SynBioBeta Speaker
Roya Amini-Naieni
Trilobio
CEO & Co-founder
Roya Amini-Naieni is the CEO and Co-Founder of Trilobio, a robotics and biology research platform with the mission to fully automate biology for everyone. Roya studied Mathematics and Computational Biology at Harvey Mudd College (HMC) where she founded a SynBio lab with grant funding from HMC's president. Previously, she conducted SynBio research at University of Washington, HMC and at Asimov, a leading SynBio startup. Roya also founded the first non-collegiate iGEM team in WA state. She is a 776 Fellow and Forbes 30 Under 30 recipient.
SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
Roya
This Year
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Tools & Tech
Self-Driving Labs, AI, and Automation: A Practical Guide to Getting Started
AI-enabled, self-driving labs are still emerging, but their foundations are already transforming how teams design, run, and interpret experiments. This session offers a practical guide for scientists and R&D leaders who want to understand what can be done today — from tightening design–test–learn loops to reducing manual error and capturing early benefits of autonomous experimentation. Rather than presenting an unrealized future, speakers will focus on practical, real-world steps that give organizations a competitive edge as SDL capabilities evolve and mature. Speakers will explore what’s working, what’s not, and how autonomous lab systems are reshaping protein engineering, pathway optimization, and therapeutic design.
Purchase Pass
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Tools & Tech
Self-Driving Labs, AI, and Automation: A Practical Guide to Getting Started
AI-enabled, self-driving labs are still emerging, but their foundations are already transforming how teams design, run, and interpret experiments. This session offers a practical guide for scientists and R&D leaders who want to understand what can be done today — from tightening design–test–learn loops to reducing manual error and capturing early benefits of autonomous experimentation. Rather than presenting an unrealized future, speakers will focus on practical, real-world steps that give organizations a competitive edge as SDL capabilities evolve and mature. Speakers will explore what’s working, what’s not, and how autonomous lab systems are reshaping protein engineering, pathway optimization, and therapeutic design.
Purchase Pass
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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Featuring
Speaker Coming Soon
