Who: Zachary Cosenza, Raul Astudillo, Peter I. Frazier, Keith Baar, David E. Block
Published: May 11, 2022
Where: Biotechnology and Bioengineering
Key Takeaway: Bayesian optimization is well suited for experimental optimization, in particular for growth media used in cellular agriculture. It also outperforms similar optimization methods, likely due to its ability to synthesize multiple sources of information.
Cosenza, Z., Astudillo, R., Frazier, P. I., Baar, K., & Block, D. E. (2022). Multi‐information source Bayesian optimization of culture media for cellular agriculture. Biotechnology and Bioengineering.