The JSB lab is led by the PI, Dr. Jingyi Jessica Li, with around ten highly motivated graduate and undergraduate students. Our research is at the junction of statistics and biology, as our lab name JSB represents. We focus on developing statistical and computational methods motivated by important questions in biomedical sciences and abundant information in big genomic and health related data. On the statistical methodology side, our example interests include association measures, high-dimensional variable selection, and classification metrics. On the biomedical application side, our example interests include next-generation RNA sequencing, comparative genomics, and information flow in the central dogma. 

Recent News

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May 22, 2024

Jessica's interview with Robyn Williams @ ABC The Science Show

Dec 20, 2024

Jessica received the inaugural UCLA David Geffen School of Medicine W.M. Keck Foundation Junior Faculty Award

Dec 3, 2024

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Sep 11, 2024

Heather received the NSF NRT MENTOR Fellowship

Selected Publications

Publications

Li, W.V.*, Li, S.*, Tong, X., Deng, L., Shi, H., and Li, J.J. (2024). AIDE: annotation-assisted isoform discovery with high precision. Genome Research 29:2056-2072. [ SOFTWARE ] [ COVER ART ] [ UCLA News ] | [ PDF ]
老王APP*, Zhang, H.*, 老王APP, Li, W.V., 免费翻软件老王, and Li, J.J. (2024). EpiAlign: an alignment-based bioinformatic tool for comparing chromatin state sequences. Nucleic Acids Research gkz287. [ SOFTWARE ] [ WEBSITE ] | 老王APP
Razaee, Z.S., Amini, A.A., and Li, J.J. (2024). Matched bipartite block model with covariates. Journal of Machine Learning Research 20:1-44. | [ PDF ]