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个人简介
Her research interests include quantifying the central dogma, extracting hidden information from bulk, single-cell, and spatial multi-omics data, and ensuring statistical rigor in biomedical data analysis. She emphasizes using in silico negative controls to avoid false discoveries.
Jessica has received multiple awards in recognition of her work, including the NSF CAREER Award, Sloan Research Fellowship, Johnson & Johnson WiSTEM2D Math Scholar Award, MIT Technology Review 35 Innovators Under 35 China, Harvard Radcliffe Fellowship, COPSS Emerging Leader Award, and ISCB Overton Prize.
Jessica has received multiple awards in recognition of her work, including the NSF CAREER Award, Sloan Research Fellowship, Johnson & Johnson WiSTEM2D Math Scholar Award, MIT Technology Review 35 Innovators Under 35 China, Harvard Radcliffe Fellowship, COPSS Emerging Leader Award, and ISCB Overton Prize.
研究兴趣
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Yiling Elaine Chen,Xinzhou Ge, Kyla Woyshner, MeiLu McDermott,Antigoni Manousopoulou,Scott B. Ficarro,Jarrod A. Marto, Kexin Li,Leo David Wang,Jingyi Jessica Li
biorxiv(2024)
Nature communicationsno. 1 (2023): 7482-7482
bioRxiv : the preprint server for biology (2023)
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bioRxiv : the preprint server for biology (2023)
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