The tumor in its host.
The microbe in its community.
We profile blood, tumors, and microbes from single cells to whole communities, and build the computational methods that turn those signals into predictions of treatment response and disease progression.
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.
