Using temporal graph machine learning and deep immune profiling to predict which cancer immunotherapy patients will develop autoimmune adverse events before they occur.
Investigating the autoimmune and immune dysregulation mechanisms underlying Long COVID to improve diagnosis, treatment, and biological understanding of persistent symptoms.
Building a CHO cell surface display library of all human proteins to enable comprehensive, high-throughput autoantibody profiling across autoimmune diseases and vaccine responses.
Building a spatial single-cell atlas of healthy and diseased human kidneys to redefine immune-mediated kidney disease and identify precision diagnostic and therapeutic targets.
Uncovering the mechanisms by which inflammasomes drive aberrant inflammation in humans to identify new therapeutic targets for autoinflammatory diseases and sepsis.
Advancing engineered CAR and CAAR T cell therapies across multiple autoimmune diseases through clinical trials, preclinical development, and industry partnerships.
Systematically identifying and validating repurposed FDA-approved drugs for over 160 autoimmune diseases using AI, knowledge graphs, and high-throughput experimental screening.
