My research focuses on dissecting the pathogenesis of autoimmune diseases and translating these fundamental findings into clinically actionable prediction models for disease prevention and therapy optimization. With my background in neuropathology, my research also emphasizes the neurological manifestations of these debilitating conditions.

To understand genetically and clinically diverse systemic autoimmune diseases like systemic lupus erythematosus, our laboratory takes an integrated and system-level approach by analyzing extensive genetic data, single-cell level transcriptomics, as well as longitudinally collected cellular composition and soluble proteomic data. The secondary focus of my research will be utilizing current machine learning algorithms and exploring new analytic algorithms to create both accurate diagnostic and prognostic models for autoimmune disease and interpretable biological functional network models that delineate the differences between canonical and diseased states.

Recent studies, including my work in understanding the critical role of autoimmunity in neurodegeneration, have demonstrated intricate interplays between the nervous and immune systems. In the process of deciphering the complex etiology of systemic autoimmune disease, our group will place a special emphasis on unraveling the effects of autoimmunity on the neurological system by leveraging both high-throughput in vitro assay and animal models.

Ultimately, our work aims to advance the understanding of systemic autoimmune diseases, enhance early detection and treatment strategies, and shed light on the neurological implications of these complex disorders.