Vice Chair for Research, Department of Pathology, NYU Grossman School of Medicine / NYU Langone Health Jeffrey Bergstein Professor of Medicine, Department of Pathology, NYU Grossman School of Medicine / NYU […]
Professor, Department of Medicine, NYU Grossman School of Medicine / NYU Langone Health Professor, Department of Pathology, NYU Grossman School of Medicine / NYU Langone Health Co-Director, Division of Precision […]
Associate Director, Judith & Stewart Colton Center for Autoimmunity, NYU Grossman School of Medicine / NYU Langone Health, New York University Assistant Professor, Department of Medicine, NYU Grossman School of […]
Developing a cell-labeling tool to map immune cell interactions in living tissue, this project identifies the drivers of skin-resident T cell persistence in psoriasis and potential targets for disease prevention.
Applying self-supervised AI to multi-modal electronic health records — integrating clinical notes, labs, and imaging — this project builds scalable diagnostic models to detect autoimmune diseases earlier and more precisely.
Building a fluorescence-based cellular screening platform to identify small molecules targeting mutant UBA1, this project addresses an acute unmet need in VEXAS syndrome and lays groundwork for broader rheumatic disease therapies.
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.
A self-replicating RNA platform delivers anti-inflammatory cytokines directly to the airways, offering targeted local immune suppression without systemic toxicity — a mechanistically distinct approach to treating lupus lung disease.
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.
