Hack Your Beer with Machine Learning
The democratization of protein design now enables the rapid generation of new functional proteins using a simple laptop. In this talk, I will briefly discuss recent developments in the field of ML-based protein design. We will then explore some of the open-source and API-based models available online and demonstrate how they can be used at home. Using beer production as a case study, we will explore how these open-source models can be applied to hack fermentation yeast, to brew better, more nutritious beer.
Speaker:
Amijai Saragovi - is a postdoctoral researcher in the Baker Lab, where he combines AI-powered protein design with experimental innovation to create functional protein-based nanomaterials. His work focuses on harnessing proteins to template semiconductor growth, offering a scalable and sustainable alternative for next-generation electronics. As he transitions to establish his research in Lund University, Saragovi envisions a future where biofabricated materials redefine energy-efficient computing, photonics, and quantum technologies—pushing biology beyond evolution to engineer entirely new functionalities.
Agenda:
17:30 – 17:45 – Meet & Greet
17:45 – 18:30 – Presentation
18:30 – 19:00 – Meet & eat
19:00 – 20:00 – Q&A
