Decoding "Dirty" Data
We develop machine learning methods and tools to detect signals in “dirty” (noisy) data.
Computational Immunology
We analyze immune response as a system using machine learning methods to understand its role in human diseases.
Translational Medicine
Our mission is to leverage “dirty data” and apply machine learning to develop diagnostics and therapies to improve global health.