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I use machine learning to study immune cell differentiation and polarization

T cells are critical adaptive immune cells that shape when and how an immune response is activated. To better understand autoimmunity and our body's response to disease, I'm interested in learning how certain genetic factors poise populations of T cells to enact particular immunological functions. I use high-dimensional transcriptional and genetic data to investigate these processes and work closely with wet-lab researchers to pursue the functional implications of our findings. My dual mentorship team allows me to tailor and develop methods to analyze this high-dimensional data (Riesenfeld Group) while staying grounded in the immunological meaning of my research (Jabri Group).