Identifying DNA methylation signatures in blood and urine as non-invasive biomarkers to classify lupus nephritis and guide treatment without repeated biopsies.
Engineering TET2-deficient beta cells that resist autoimmune attack to create replacement cell therapies for type 1 diabetes.
Developing an IFNγ-based molecular microscope to assess celiac disease activity and response to treatment without relying solely on diagnostic biopsies.
Using the RIP-NINJA mouse model to study how PD-1 regulation in the pancreas prevents autoimmune induction and checkpoint therapy-induced diabetes.
Developing and validating a humanized MISTRG6 mouse model that accurately replicates human immune responses to gluten for celiac disease research and drug development.
Using DIPS, a non-invasive skin sampling technique, to build cytokine-based biomarker panels that predict biologic treatment response in psoriasis and atopic dermatitis.
Using spatial transcriptomics to map distinct HS disease endotypes and identify targeted therapeutic strategies for this underserved inflammatory skin disease.
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 the autoantigens and T cell clonotypes driving immune attack in aplastic anemia to enable more precise diagnostics and targeted therapies.
