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their underlying molecularmechanisms in normal developmental processes and tumorigenesis. Our research spans multiple areas, including RNA Biology, Cancer Biology, Chromatin and Epigenetic Regulation, Cancer
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-genome sequencing data from childhood leukemia patients to investigate the etiologic role of early-life environmental exposures and the prenatal origins of childhood leukemia, for example in our ReCord
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method development, data analysis, and experimental design. Integrate information from high-throughput screens, proteomic data, and next-generation sequencing data to generate and validate hypotheses
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models. · Experience with bioinformatics, single-cell sequencing analysis, spatial biology, or computational data analysis is desirable but not required. · Proven scientific productivity
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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treatment efficacy and toxicity. Using a multidisciplinary approach, including microbiome sequencing, computational methods, functional assays and preclinical models, we aim to develop and translate
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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datasets, including RNA-seq, ATAC-seq, ChIP-seq, and single-cell or single-nucleus sequencing data. · Present research findings at laboratory meetings, scientific conferences, and national
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, western blotting, cloning, and other standard techniques in molecular and cellular biology. Use sequencing-based and functional genomics approaches to characterize leukemic cells, immune cell populations
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at [email protected] outlining how your career objectives align with the research conducted in our lab. Please indicate the expected graduation date if applicable. Your CV should include a detailed list of