
SynBioBeta Speaker
Ron Alfa
NOETIK Inc.
Co-Founder & CEO
Ron Alfa is a physician scientist at the forefront of leveraging technology to tackle unmet therapeutic needs in medicine. He is Co-Founder and CEO of NOETIK, a next generation precision oncology company using multimodal foundation models pre-trained on large-scale human tumor data to discover cancer therapeutics. Prior to founding Noetik, Ron was Senior Vice President, Head of Research and acting-CSO at Recursion, where he led the company’s scientific organizations and portfolio strategy. At Recursion, he led portfolio and platform builds across rare disease, neuroscience, oncology, and immunology, and was responsible for advancing multiple therapeutic programs from discovery to clinical development. Ron holds an MD and PhD from Stanford University School of Medicine, where he completed his doctoral work in Neuroscience, and has a MA in History of Medicine from UCL.
SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
Ron
This Year
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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 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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Featuring

Marc Tessier-Lavigne
Xaira
Chairman & CEO
Neuroscience pioneer and former Stanford president building AI biotech.

Kim Branson
GlaxoSmithKline
SVP, Global Head
Drug-discovery AI architect turning data into medicines.

David Hallett
Recursion
CSO
Veteran “drug hunter” leading Recursion’s industrialized, AI-driven discovery.

Ron Alfa
NOETIK Inc.
Co-Founder & CEO
Physician-scientist and Recursion veteran building AI cancer therapeutics.
•
-
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?
Get a Ticket
Featuring

Marc Tessier-Lavigne
Xaira
Chairman & CEO
Neuroscience pioneer and former Stanford president building AI biotech.

Kim Branson
GlaxoSmithKline
SVP, Global Head
Drug-discovery AI architect turning data into medicines.

David Hallett
Recursion
CSO
Veteran “drug hunter” leading Recursion’s industrialized, AI-driven discovery.

Ron Alfa
NOETIK Inc.
Co-Founder & CEO
Physician-scientist and Recursion veteran building AI cancer therapeutics.
Session lineup still growing
Get a Ticket
Featuring
Speaker Coming Soon
•
-
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?
Get a Ticket
Featuring
Speaker Coming Soon











































































































































































































































































