Jingyi Jessica Li

Jingyi Jessica Li (Chinese:李婧翌) is a statistical scientist whose work bridges statistics and computational biology, with a focus on developing rigorous statistical methods for the analysis of high-throughput biological data. Her research integrates statistical principles with biological data analysis, particularly in genomics and transcriptomics.

Li has won several awards, including the Overton Prize from the International Society for Computational Biology and the Emerging Leader Award from COPSS. In 2025, she was awarded the Guggenheim Fellowship. Provided by Wikipedia
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  1. 1
    Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data

    Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data by Guanao Yan, Shuo Harper Hua, Jingyi Jessica Li

    Published 2025-01-01
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  2. 2
    ClipperQTL: ultrafast and powerful eGene identification method

    ClipperQTL: ultrafast and powerful eGene identification method by Heather J. Zhou, Xinzhou Ge, Jingyi Jessica Li

    Published 2025-07-01
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  3. 3
    Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations

    Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations by Chakravarthi Kanduri, Maria Mamica, Emilie Willoch Olstad, Manuela Zucknick, Jingyi Jessica Li, Geir Kjetil Sandve

    Published 2025-08-01
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  4. 4
    Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq

    Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq by Hefei Zhang, Xuhang Li, Dongyuan Song, Onur Yukselen, Shivani Nanda, Alper Kucukural, Jingyi Jessica Li, Manuel Garber, Albertha J. M. Walhout

    Published 2025-05-01
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  5. 5
    Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma

    Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma by Elizabeth G. Fernandez, Wilson X. Mai, Kai Song, Nicholas A. Bayley, Jiyoon Kim, Henan Zhu, Marissa Pioso, Pauline Young, Cassidy L. Andrasz, Dimitri Cadet, Linda M. Liau, Gang Li, William H. Yong, Fausto J. Rodriguez, Scott J. Dixon, Andrew J. Souers, Jingyi Jessica Li, Thomas G. Graeber, Timothy F. Cloughesy, David A. Nathanson

    Published 2024-11-01
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