SynBioBeta Speaker

Kavya Sharman

Phase Capital

Managing Partner

Dr. Kavya Sharman is the Founder & Managing Partner of Phase Capital, an early-stage venture capital firm investing at the convergence of technology, biology, and data science.Trained as a neuroscientist and data scientist at Vanderbilt University, Kavya developed a deep appreciation for the complexity of biological systems and the power of engineering them with precision. That foundation now informs her investment thesis: backing founders who are redesigning how biology is built, expressed, and scaled, including the cell-free platforms rewriting what's possible in biomanufacturing.Phase Capital backs the infrastructure layer enabling humanity to understand and engineer biology with unprecedented precision. This includes the platforms, data systems, and AI tools that make biological discovery faster, cost-efficient, and scalable. Cell-free biomanufacturing sits squarely at this intersection, decoupling production from living systems to unlock programmability, speed, and ultimately scale.Kavya brings a rare blend of scientific expertise, strategic vision, and investment acumen - a combination that has proven successful for identifying and accelerating breakthrough ventures at the frontier of biology and technology.

SynBioBeta 2026 Tickets are Live

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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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