SynBioBeta Speaker
Babu Raman
Corteva Agriscience
External Collab. Portfolio Leader
Babu Raman is an External Collaborations Portfolio Leader in Crop Protection Research & Development at Corteva Agriscience, based in Indianapolis, Indiana. In this role, he leads strategic external partnerships in biologicals and natural products, supporting innovation across Crop Health R&D and working at the interface of internal research teams and external technology providers. His responsibilities include shaping collaboration portfolios, aligning external innovation with internal R&D priorities, and supporting decision making across research, development, and technology scouting initiatives. He works closely with cross functional stakeholders to advance collaborative programs that strengthen Corteva’s crop protection and biologicals pipeline. Babu holds a Ph.D. in Biochemical Engineering from the University of Maryland and a B.Tech. in Chemical Engineering from the Indian Institute of Technology, Madras. He joined Dow AgroSciences (now Corteva) in 2011 following a postdoctoral fellowship at Oak Ridge National Laboratory. With a professional background spanning systems and synthetic biology, natural product discovery, strain and bioprocess development and external innovation, he focuses on aligning emerging technologies with Corteva’s research and development priorities.
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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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