SynBioBeta Speaker
Eric Sundstrom
Lawrence Berkeley Nat'l Lab.
Staff Scientist
Dr. Eric Sundstrom is a Staff Scientist at Lawrence Berkeley National Laboratory, where he leads the fermentation program at the Advanced Biofuels and Bioproducts Process Development Unit. His research program focuses on de-risking novel biomanufacturing technologies, and on developing enabling technologies to reduce production costs and accelerate deployment of bioproducts at scale. He received his Ph.D. in Environmental Engineering from Stanford University, where he developed microbial community-based approaches for bioconversion of waste methane into renewable bioplastics, and holds B.Eng. and B.S. degrees from Rice University in Environmental Engineering.
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SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
Eric
This Year
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Biomanufacturing
Continuous vs Gas Fermentation: What Actually Replaces Batch?
Batch fermentation built modern biotech, but it is increasingly the constraint. As the industry pushes for higher productivity, lower costs, and more sustainable inputs, two alternatives are emerging as front-runners: continuous fermentation and gas fermentation. This session puts them head-to-head. Where does continuous fermentation win on control and throughput? Where does gas fermentation outperform on feedstock flexibility and carbon efficiency? And which approach is most likely to scale reliably outside the lab? Leaders from both camps debate what it really takes to move beyond batch—and which platform is best positioned to win.
Purchase Pass
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Biomanufacturing
Continuous vs Gas Fermentation: What Actually Replaces Batch?
Batch fermentation built modern biotech, but it is increasingly the constraint. As the industry pushes for higher productivity, lower costs, and more sustainable inputs, two alternatives are emerging as front-runners: continuous fermentation and gas fermentation. This session puts them head-to-head. Where does continuous fermentation win on control and throughput? Where does gas fermentation outperform on feedstock flexibility and carbon efficiency? And which approach is most likely to scale reliably outside the lab? Leaders from both camps debate what it really takes to move beyond batch—and which platform is best positioned to win.
Purchase Pass
Session lineup still growing
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Speaker Coming Soon
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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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Featuring
Speaker Coming Soon
