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SynBioBeta Speaker

David Hallett

Recursion

CSO

Dave Hallett comes to Recursion after approximately 5 years as the Chief Scientific Officer and Interim CEO of Exscientia. David Hallett, Ph.D., is an experienced “drug hunter” with over 20 years’ track record leading successful teams and driving major strategic collaborations. Prior to joining Exscientia, from 2005 to 2019 he held various positions within Evotec including Executive Vice President of Chemistry and EVP of Alliance Management. Dr. Hallett trained as a medicinal chemist and served as a Research Fellow at Merck & Co., Inc. He holds a B.A. from the University of Cambridge in Natural Sciences, a Ph.D. from the University of Manchester in Synthetic Organic Chemistry and was a post-doctoral fellow in Synthetic Organic Chemistry at the University of Texas Austin.

SynBioBeta 2026 Tickets are Live

Confirmed Speakers

Sessions Featuring

David

This Year

Main Stage Panel

11:00 AM

-

11:30 AM

Human Health

From Cells to Patients: Solving the Scale Mismatch in Virtual Biology

Drug discovery often measures biology at the cell level, while therapies must ultimately work across tissues, organs, and whole patients. This scale mismatch means that even highly accurate cellular predictions can fail to translate in the clinic. This session explores strategies to bridge that gap. How do we connect single-cell dynamics to organ-level physiology and patient outcomes? How do we preserve biological context while scaling models? And how do we ensure that virtual biology does not stop at simulation, but informs real therapeutic decisions? Speakers will discuss multiscale modeling that links molecular and cellular systems to higher-order biology; spatial and high-dimensional phenotypic data that retain context; and integrated computational–experimental loops that translate cellular signals into clinically meaningful biomarkers. Together, we ask: how do we ensure virtual biology reflects not just what cells do in isolation, but how biology behaves in the full complexity of patients?

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Main Stage Panel

11:00 AM

-

11:30 AM

Human Health

From Cells to Patients: Solving the Scale Mismatch in Virtual Biology

Drug discovery often measures biology at the cell level, while therapies must ultimately work across tissues, organs, and whole patients. This scale mismatch means that even highly accurate cellular predictions can fail to translate in the clinic. This session explores strategies to bridge that gap. How do we connect single-cell dynamics to organ-level physiology and patient outcomes? How do we preserve biological context while scaling models? And how do we ensure that virtual biology does not stop at simulation, but informs real therapeutic decisions? Speakers will discuss multiscale modeling that links molecular and cellular systems to higher-order biology; spatial and high-dimensional phenotypic data that retain context; and integrated computational–experimental loops that translate cellular signals into clinically meaningful biomarkers. Together, we ask: how do we ensure virtual biology reflects not just what cells do in isolation, but how biology behaves in the full complexity of patients?

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TBD

Session lineup still growing

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Featuring

Speaker Coming Soon

Fireside Chat

12:00 AM

-

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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Featuring

Speaker Coming Soon

Previous Speakers Include