Our lab applies single-cell and computational genomics to two main questions: how a patient's immune system interacts with their breast tumor, and how function varies within human microbial communities such as the gut microbiome and fungal pathogens.
We profile blood and tumor at single-cell resolution to map the immune–tumor crosstalk, and build molecular predictors of recurrence and treatment response across invasive and in situ breast cancer.
Single-cell and computational approaches to study microbial life across scales: individual fungal cells, multi-species interactions, and recurring functional states in the human gut microbiome.
We develop statistical and machine-learning methods for -omics data collected in human cohorts and clinical samples. MIxT, PREFFECT, Candescence and deep-fMC came out of this work.