Using single-molecule imaging to visualize B cell receptor signaling across gut compartments, this project uncovers how intestinal B cell education breaks down in IBD, revealing new targets for therapeutic intervention.
Identifying a novel molecular regulator of tolerogenic dendritic cell function, this project uncovers how its loss triggers spontaneous multiorgan autoimmunity and exacerbates lupus — revealing a clinically relevant pathway in immune tolerance.
Using spatial transcriptomics to map distinct HS disease endotypes and identify targeted therapeutic strategies for this underserved inflammatory skin disease.
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 wearable sensors and machine learning to analyze real-world movement and sleep data, this project aims to predict treatment response earlier and enable more personalized care for inflammatory arthritis.
