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SynBioBeta Speaker

Wyatt McDonnell

Infinimmune

CEO

Dr. Wyatt McDonnell is Co-Founder and CEO of Infinimmune, a biotechnology company built on the premise that the human immune system is the best source of therapeutic antibodies. Infinimmune's discovery platform has produced two development candidates—IFX-101 (anti-IL-22) and IFX-201 (anti-IL-13)—and underpins a multi-target antibody discovery collaboration with Merck valued at up to $838 million in milestones. Previously, Wyatt was Technical Lead of Barcode-Enabled Antigen Mapping (BEAM) at 10x Genomics, where he also developed the company's first therapeutic antibodies and core immunology intellectual property behind three commercial products. As a faculty member at Vanderbilt University Medical Center, he studied human immune correlates of chronic viral infection and type 2 diabetes and received Young Investigator awards from CROI, the International Workshop on HIV and Aging, and the American Heart Association. He received his PhD and MSc at Vanderbilt University for his work on T and B cell biology in HIV infection, checkpoint inhibitor toxicity, and other immune-mediated diseases. Wyatt has co-authored 43 peer-reviewed papers in journals including Nature, Cell, and Nature Medicine, and 44 published patents in antibody discovery and engineering, immunobiology, genomics, and in silico antibody models. He has been invited to speak at PEGS, the Keystone Symposia, Antibody Engineering and Therapeutics, the Antibody Series, the World Vaccine Congress, LEAP, PMWC, and Biotech Showcase. He is a one-time National Spelling Bee finalist and can be found playing piano, reading, or exploring the Bay Area culinary scene in his free time.

Sessions Featuring

Wyatt

This Year

Breakout Session

4:30 PM

-

5:15 PM

Human Health

The Biology Data Flywheel: From DNA Synthesis to Pharma-Scale AI Discovery

Drug discovery is not limited by models. It is limited by data. While AI is accelerating molecular design and target discovery, the real bottleneck remains the generation, integration, and interpretation of biological datasets that are complex, heterogeneous, and often not yet predictive. Pharma-scale discovery requires more than algorithms. It requires new approaches to building and operationalizing data itself. This session explores how next-generation DNA synthesis, high-throughput experimentation, and integrated data infrastructures are enabling a new biology data flywheel. From experimental datasets that inform translational decisions to emerging standards for capturing real-world and preclinical signals, leaders will discuss how data generation strategies are reshaping discovery workflows. Speakers from pharma, AI-native biotech, and platform providers will examine how biology is becoming a programmable data layer, enabling faster biologics development, more informed portfolio decisions, and new collaborative models that connect experimental systems, computational tools, and pharma-scale discovery pipelines.

Breakout Session

4:30 PM

-

5:15 PM

Human Health

The Biology Data Flywheel: From DNA Synthesis to Pharma-Scale AI Discovery

Drug discovery is not limited by models. It is limited by data. While AI is accelerating molecular design and target discovery, the real bottleneck remains the generation, integration, and interpretation of biological datasets that are complex, heterogeneous, and often not yet predictive. Pharma-scale discovery requires more than algorithms. It requires new approaches to building and operationalizing data itself. This session explores how next-generation DNA synthesis, high-throughput experimentation, and integrated data infrastructures are enabling a new biology data flywheel. From experimental datasets that inform translational decisions to emerging standards for capturing real-world and preclinical signals, leaders will discuss how data generation strategies are reshaping discovery workflows. Speakers from pharma, AI-native biotech, and platform providers will examine how biology is becoming a programmable data layer, enabling faster biologics development, more informed portfolio decisions, and new collaborative models that connect experimental systems, computational tools, and pharma-scale discovery pipelines.

TBD

Session lineup still growing

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?

Featuring

Speaker Coming Soon

Previous Speakers Include