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Biological Foundation Models
We develop large-scale representations that learn the grammar of protein and genomic sequences, structures, and functions.
RESEARCH
Machine learning is our shared lens for studying proteins, genomes, and regulatory systems.
We develop large-scale representations that learn the grammar of protein and genomic sequences, structures, and functions.
We integrate protein language models with structural and multi-view features to predict PTMs, enzyme activity, and molecular function.
We explore sequence and structure space to discover enzymes and engineer proteins with desired properties.
We combine computational design with molecular biology to improve the precision and scale of plant genome engineering.
We model gene regulatory networks from multimodal data to understand how biological systems organize and respond.