SynBioBeta Speaker

Ricky Cassini

Michroma

CEO

Ricky Cassini is the CEO and founder of Michroma, a biotechnology company creating natural ingredients through precision fermentation. His work sits at the intersection of biotech, food innovation, and commercial scale-up, with a strong focus on building sustainable alternatives to synthetic ingredients.As an entrepreneur, Ricky has led Michroma from vision to execution by combining deep operational thinking with a sharp understanding of market needs, partnerships, and scale. His expertise spans biotech commercialization, go-to-market strategy, manufacturing scale-up, pricing, business development, and the role of breakthrough technologies in transforming the food and ingredient industries.Before founding Michroma, Ricky built experience in operations, logistics, and business strategy, and has also worked as a consultant and university professor. Across his career, he has been driven by one core idea: using innovation to create products that are both economically viable and meaningfully better for people and the planet.Ricky has been recognized as a Forbes 30 Under 30 honoree in North America, an MIT Innovators Under 35 LATAM recipient, a Stanford LBAN alumnus, and a Young Founder of the Westerwelle Foundation.

SynBioBeta 2026 Tickets are Live

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Ricky

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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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