IGI BioML Journal Club - Generative design of bacteriophages with genome language models
ABOUT THIS EVENT
- WHO IT IS FOR: Researchers, computational biologists, and machine learning engineers interested in the intersection of synthetic biology and generative AI.
- WHAT IT IS ABOUT: An exploration of how genome language models can be applied to the generative design of bacteriophages.
- FORMAT: A technical journal club presentation featuring research from Brian Hie's group.
Join the IGI BioML Journal Club for a deep dive into the cutting edge of computational biology. This session focuses on the transformative potential of genome language models in the generative design of bacteriophages, exploring how AI can decode and create complex biological sequences.
Presented by Samuel King, this talk will highlight recent advancements in applying machine learning architectures to genomic data. This is a premier opportunity for the Berkeley scientific community to engage with the latest breakthroughs in biological design and machine learning.
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