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<p>Our lab at the <a href="https://lsi.princeton.edu/" target="_blank" rel="noopener">Lewis-Sigler Institute for Integrative Genomics</a> and the <a href="https://www.cs.princeton.edu/" target="_blank" rel="noopener">Department of Computer Science</a> at <a href="https://www.princeton.edu/" target="_blank" rel="noopener">Princeton University</a> uses applied statistics, machine learning and efficient algorithms to address fundamental problems in biology and medicine by integrative analysis of multi-dimensional data.</p>
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<h1 class="mb-0">Research</h1>
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<p>We develop computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing technologies. We apply these methods to study regulatory genomics of cell function and cell-cell interactions <em>in vivo</em>, with a focus on immunology and cancer.</p>
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<div class="section-subheading article-title mb-0 mt-0"><a href="/research/01-tcells/" ></a></div>
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<p>CD8 T cells form the central component of the adaptive immune system and are essential in defense against viral and bacterial infections and in tumor immunity. Better molecular characterization of CD8 T cells in different contexts is fundamentally important and can lead to improved clinical results in cancer immunotherapies, infectious diseases, autoimmunity. We performed an extensive genomic, single-cell, and transcription factor <a href="publication/2021-cd8t/index.html">analysis</a> of CD8 T cell functional and dysfunctional states. We now continue studying regulatory mechanisms and cell-cell interactions governing CD8 T cell activation and functional commitment across immune challenges in mouse and human using single-cell and spatial multi-omics. We are also expanding these approaches to other immune cell types.</p>
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