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.
Identifying GSPT1 as an essential, targetable vulnerability of skin-resident memory T cells to enable durable remission in chronic inflammatory skin diseases without systemic immunosuppression.
Building the largest cerebrospinal fluid immune profile dataset in pediatric autoimmune neurological diseases to enable faster, more accurate diagnosis of MS and related conditions.
Building a CHO cell surface display library of all human proteins to enable comprehensive, high-throughput autoantibody profiling across autoimmune diseases and vaccine responses.
Profiling deep immune changes before AAV relapse to identify predictive biomarkers and therapeutic targets for this difficult-to-manage autoimmune vasculitis.
Developing CART4-34, a novel CAR T cell therapy that selectively eliminates IGHV4-34+ pathogenic B cells in lupus while sparing healthy B cells and avoiding broad immunosuppression.
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.
