I work on making single-cell biology searchable and comparable at scale.
My research sits at the intersection of foundation models and translational biology, building systems that turn massive single-cell datasets into tools scientists actually use, from cell-level search to patient-level disease modeling.
See the projectsFeatured project
Query a cell, and SCimilarity returns its nearest neighbors across a reference of 23.4 million cells.
SCimilarity: a search engine for cells
Think of it as reverse image search for cells: hand the model a cell, and it returns every similar cell we've ever seen, along with the tissue, disease, and context that came with them.