Webinar description

There are a number of factors that affect the yield of cultivated meat production in bioreactors, including mass transfer, mixing, hydrodynamic stress, and metabolite concentrations. In this work, computational workflows are being developed to efficiently predict the yield limits of each of these factors. One workflow builds on existing techno-economic analysis models by adding computational fluid dynamics and Bayesian optimization to provide predictions of optimum mass transfer, mixing, and hydrodynamic stress bioreactor performance. A second adds genome-scale metabolic modeling to predict cell growth response to metabolite concentrations. This presentation describes these workflows, detailing progress thus far and the need for further specific developments.

Meet the speaker

Dr. Simon hubbard, mimeche

Dr. Simon Hubbard, MIMechE

LEAD ENGINEER AND OWNER, UPSTREAM APPLIED SCIENCE LTD.

Simon has been running his solo consulting business for almost four years, focusing primarily on the development and application of computational models in the cellular agriculture space. Prior to starting Upstream Applied Science, Simon spent time in the motorsport, high-tech product development, and technology consulting sectors. He has broad experience in computational simulation and mathematical modeling, with a focus on fluid dynamics simulation tools and applications.

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