The tumor in its host.
The microbe in its community.
One cell at a time.
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 breast cancer and DCIS.
Single-cell and computational approaches to read microbial life across scales: individual fungal cells, multi-species interactions, and the functional configurations that organize the human gut microbiome.
We combine -omics with epidemiology to push complex real-world data toward questions of causation, not just correlation. The tools we've built along the way, such as MIxT, PREFFECT, and Candescence, support the rest of the lab's work.
