The Sledzieski Lab at UC San Diego develops computational methods to better understand molecular structures and interactions, from modeling complex structural dynamics to building whole-organism interaction networks.
Research
Learning the language of life
We train, investigate, and adapt large foundation models for biomolecular modeling.
Modeling dynamic allostery
We model the link between structural heterogeneity and molecular function through the lens of allostery.
Predicting molecular interactions
We build models for rapid and accurate prediction of protein-protein interaction networks.
Investigating function in diverse organisms
We develop high-throughput, robust, and generalizable models to study cellular systems across the tree of life.
Selected publications
Decoding the functional interactome of non-model organisms with PHILHARMONIC
Conference on Research in Computational Molecular Biology (RECOMB), 2025
News
Oct 14, 2026
The lab website is live! Sam will join the Halıcıoğlu Data Science Institute at UC San Diego as an Assistant Professor in July 2027, and the lab is recruiting at all levels: see Join.