SynBioBeta Speaker
Nicholas Larus-Stone
Benchling
Head of AI Agents
Nicholas Larus-Stone is head of the AI Agents team at Benchling, where he leads development of the company’s scientific agents and other AI-driven products. He joined Benchling following its acquisition of Sphinx Bio, the biotech startup he founded to apply AI to scientific data analysis and drug discovery. Earlier in his career, he was the first software engineer at Octant Bio and led the Machine Learning Infrastructure team at BenevolentAI. Nicholas also is the founder and president of Bits in Bio, a leading non-profit uniting innovators in software and life sciences.
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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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