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SynBioBeta Speaker

Barry Bunin

CDD

Founder & CEO

Barry A. Bunin, Ph.D. is the CEO of Collaborative Drug Discovery. Dr. Bunin has overseen $100 million in business transactions over the last two decades. CDD Vault hosts over 4 billion experimental SAR data points searched over 10 million times by scientists daily around the world doing…collaborative drug discovery. Recent innovations include generative bioisosteres, ultrafast deep learning similarity search and chemically aware biologics capabilities (for example for each atom in ADCs).Prior to CDD, he was an Entrepreneur in Residence with Eli Lilly & Co. Dr. Bunin is on a patent for Kyprolis™ (Carfilzomib for Injection) — a selective proteasome inhibitor that received accelerated FDA approval for the treatment of patients with multiple myeloma that was widely viewed as the centerpiece of Amgen’s $10.4 Billion acquisition of Onyx Pharmaceuticals.Dr. Bunin was the founding CEO, President, & CSO of Libraria (now Eidogen-Sertanty). At Libraria, he led a team that integrated exhaustive reaction capture (synthetic chemistry) with gene-family wide SAR capture (medicinal chemistry). In the lab, Dr. Bunin did medicinal synthetic chemistry developing patented new chemotypes for protease inhibition at Axys Pharmaceuticals (now Celera) and RGD mimics to inhibit GP-IIbIIIa at Genentech.Dr. Bunin received his B.A. from Columbia University and his Ph.D. from UC Berkeley, where he synthesized and tested the initial 1,4-benzodiazepine libraries with Professor Jonathan Ellman. On the scientific side, he co-authored 3 books: “Chemoinformatics: Theory, Practice, and Products” (Springer-Verlag), a text that overviews modern chemoinformatics technologies, and “The Combinatorial Index” (Academic Press), a widely used text on high-throughput chemical synthesis, and most recently self-published the collaborative book: “Inside CDD Vault: A Different Kind of Silicon Valley Success Story (Behind the Code: The Human Side of Collaborative Drug Discovery)” available on Amazon.

SynBioBeta 2026 Tickets are Live

Confirmed Speakers

Sessions Featuring

Barry

This Year

Book Signing

5:30 PM

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6:30 PM

Inside CDD Vault, A Different Kind of Silicon Valley Success Story: Behind the Code: The Human Side of Collaborative Drug Discovery

Join us during the Exhibit Hall Cocktail Reception for a special book signing with Barry Bunin, founder and CEO of Collaborative Drug Discovery. Barry will be signing copies of his book Inside CDD Vault — A Different Kind of Silicon Valley Success Story: Behind the Code: The Human Side of Collaborative Drug Discovery, which explores the story behind building one of the most widely used data platforms in drug discovery. Stop by to meet Barry, hear about the journey behind CDD Vault, and pick up a signed copy while connecting with others across the SynBioBeta community.

Purchase Pass

Book Signing

5:30 PM

-

6:30 PM

Inside CDD Vault, A Different Kind of Silicon Valley Success Story: Behind the Code: The Human Side of Collaborative Drug Discovery

Join us during the Exhibit Hall Cocktail Reception for a special book signing with Barry Bunin, founder and CEO of Collaborative Drug Discovery. Barry will be signing copies of his book Inside CDD Vault — A Different Kind of Silicon Valley Success Story: Behind the Code: The Human Side of Collaborative Drug Discovery, which explores the story behind building one of the most widely used data platforms in drug discovery. Stop by to meet Barry, hear about the journey behind CDD Vault, and pick up a signed copy while connecting with others across the SynBioBeta community.

Purchase Pass

Breakout Session

3:30 PM

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4:15 PM

AIxBIO

Data Factories: Building the Infrastructure for AI-Ready Biology

Biology is entering an AI-driven era, but most experimental infrastructure still produces data designed for individual experiments, not for learning at scale. As a result, much of today’s data is useful in the moment but poorly suited for training robust, long-lived models. This session will explore what biological data matters most today, what data needs to be generated now to support future models, and how leading teams are closing that gap. Panelists will discuss how automation, metadata discipline, and standardized testing pipelines can turn artisanal lab workflows into continuous experiment-to-learning systems. The focus will be on infrastructure and experimental design, highlighting practical bottlenecks, emerging best practices, and what becomes possible when biology produces abundant, high-quality, model-ready data by default.

Purchase Pass

Breakout Session

3:30 PM

-

4:15 PM

AIxBIO

Data Factories: Building the Infrastructure for AI-Ready Biology

Biology is entering an AI-driven era, but most experimental infrastructure still produces data designed for individual experiments, not for learning at scale. As a result, much of today’s data is useful in the moment but poorly suited for training robust, long-lived models. This session will explore what biological data matters most today, what data needs to be generated now to support future models, and how leading teams are closing that gap. Panelists will discuss how automation, metadata discipline, and standardized testing pipelines can turn artisanal lab workflows into continuous experiment-to-learning systems. The focus will be on infrastructure and experimental design, highlighting practical bottlenecks, emerging best practices, and what becomes possible when biology produces abundant, high-quality, model-ready data by default.

Purchase Pass

TBD

Session lineup still growing

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Featuring

Speaker Coming Soon

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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Featuring

Speaker Coming Soon

Previous Speakers Include