SynBioBeta Speaker

Jessica Green

ARPA-H

Program Manager

Dr. Jessica Green has devoted her career to bridging science, health, and environmental security across public- and private-sector innovation ecosystems. She joined the first cohort of Program Managers at the Advanced Research Projects Agency for Health (ARPA-H), where she leads investments that propel breakthrough health solutions beyond what traditional approaches can tackle. Prior to ARPA-H, she served as founding CEO of Phylagen, a microbiome data analytics company that provided services to Fortune 500 companies across 7 continents. Through her leadership the company scaled to a global team of 100+ (including contractors), generated $10M in revenue and was named Technology Pioneer by the World Economic Forum. During the COVID pandemic, the company developed novel methods for efficiently monitoring pathogens in office buildings as large as the World Trade Center. In her former life as a professor, she co-authored more than 50 peer-reviewed publications. As co-founding Director of the Biology and Built Environment Center at the University of Oregon, her team achieved a significant milestone by becoming the first to successfully sequence the DNA of indoor air. She served on the Science Advisory Board at the Santa Fe Institute and has been honored with esteemed awards including the Blaise Pascal International Research Chair, the John Simon Guggenheim Memorial Foundation Fellowship, and two TED Fellowships.

SynBioBeta 2026 Tickets are Live

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Jessica

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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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