Draft:Jingyi Jessica Li

Jingyi Jessica Li
Jingyi Jessica Li
李婧翌
Born	June 6, 1985 (age 39)
Alma mater	Tsinghua University (B.S.); University of California, Berkeley (Ph.D.)
Known for	Statistical methods for RNA sequencing; Bioinformatics tools for single-cell transcriptomics; Quantifying the central dogma using statistics; P-value-free false discovery rate control; Neyman-Pearson classification for medical diagnostics;
Awards	Johnson & Johnson Women in STEM2D Math Scholar Award (2018). ; Sloan Research Fellowship (2018); NSF CAREER Award (2019); MIT Technology Review 35 Innovators Under 35 China ; Overton Prize (2023); Emerging Leader Award, COPSS (2023);
	Scientific career
Fields	Statistics; Bioinformatics; Computational biology; Machine learning; Genomics;
Institutions	University of California, Los Angeles;
Thesis	Statistical Methods for Analyzing High-throughput Biological Data (2013)
Doctoral advisors	Peter J. Bickel; Haiyan Huang
Website	jsb.ucla.edu

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Instructions · What links here · Jingyi Jessica Li (talk: + · bio) · (log) · Copyvios report · reFill · Citation Bot · (Search: Google, Wikipedia) · Submitted 2 days ago by Weijian ian (talk: D · +) · Last edited 0 seconds ago

Jingyi Jessica Li (Chinese:李婧翌, born June 6, 1985) is a Professor of Statistics, Biostatistics, Human genetics，Computational medicine, and Bioinformatics at the University of California, Los Angeles (UCLA). Her research integrates statistical principles with biological data analysis, particularly in genomics and transcriptomics.

Li has been recognized for her innovative research with numerous prestigious awards, including the Overton Prize from the International Society for Computational Biology and the Emerging Leader Award from COPSS.

^ "2018 WiSTEM²D Scholars Award Winners Announced". Johnson & Johnson. 2018. Retrieved 2025-02-03.
^ "Innovators Under 35 China (2020)". Innovators Under 35. Retrieved 2025-02-03.
^ "COPSS Leadership Academy". Committee of Presidents of Statistical Societies (COPSS). Retrieved 2025-02-03.

[1] "2018 WiSTEM²D Scholars Award Winners Announced". Johnson & Johnson. 2018. Retrieved 2025-02-03.

[2] "Innovators Under 35 China (2020)". Innovators Under 35. Retrieved 2025-02-03.

[3] "COPSS Leadership Academy". Committee of Presidents of Statistical Societies (COPSS). Retrieved 2025-02-03.

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[2]

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Jingyi Jessica Li
李婧翌
Born	(1985-06-06) June 6, 1985 (age 39)
Alma mater	Tsinghua University (B.S.) University of California, Berkeley (Ph.D.)
Known for	Statistical methods for RNA sequencing Bioinformatics tools for single-cell transcriptomics Quantifying the central dogma using statistics P-value-free false discovery rate control Neyman-Pearson classification for medical diagnostics
Awards	Johnson & Johnson Women in STEM2D Math Scholar Award (2018). ^[1] Sloan Research Fellowship (2018) NSF CAREER Award (2019) MIT Technology Review 35 Innovators Under 35 China ^[2] Overton Prize (2023) Emerging Leader Award, COPSS (2023)^[3]
Scientific career
Fields	Statistics Bioinformatics Computational biology Machine learning Genomics
Institutions	University of California, Los Angeles
Thesis	Statistical Methods for Analyzing High-throughput Biological Data (2013)
Doctoral advisors	Peter J. Bickel Haiyan Huang

Website	jsb.ucla.edu

Draft:Jingyi Jessica Li

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