@jsb_ucla

Professor & Program Head, Biostatistics @FredHutch | Affiliate Professor @UWBiostat | Formerly @UCLA | Junction of Statistics & Biology; Rigor & Reproducibility

jsb.ucla.edu
Joined March 2018
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My postdoc Pan Liu will start this fall as Assistant Professor of Biostatistics at The University of Texas MD Anderson Cancer Center, where she will continue developing statistical methods for genomics and pursue broader questions in biostatistics such as clinical trials and AI.
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Huge shout-out to my PhD student Chenxin (Flora) Jiang @cflorajiang and postdoc Changhu Wang @ChanghuW59559 for this work.
Jingyi Jessica Li (李婧翌)@jsb_uclaAug 19
Replying to @jsb_ucla
5/5 Our commentary: authors.elsevier.com/a/1ndxd… DOI: 10.1016/j.cels.2026.101706 Background debate: Sun et al. (2024): nature.com/articles/s41586-0… Mukamel & Yu (2025): nature.com/articles/s41586-0… Sun et al. reply (2025): nature.com/articles/s41586-0… #SingleCell #Transcriptomics #Biostatistics
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1/5 New in Cell Systems: our commentary revisits a recent Nature debate over memory-associated gene-expression changes in single-cell data. The debate centered on whether reported differential-expression (DE) signals were statistically reliable.
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4/5 DE tests shifts in average gene expression. DV tests changes in expression heterogeneity across cells. They test different hypotheses. Considering both can provide a more comprehensive view of transcriptomic differences.
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5/5 Our commentary: authors.elsevier.com/a/1ndxd… DOI: 10.1016/j.cels.2026.101706 Background debate: Sun et al. (2024): nature.com/articles/s41586-0… Mukamel & Yu (2025): nature.com/articles/s41586-0… Sun et al. reply (2025): nature.com/articles/s41586-0… #SingleCell #Transcriptomics #Biostatistics
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I am so greatly honored and happy to be selected together with my colleague Yingqi Zhao as ASA Fellows this year.
Biostatistics Program at Fred Hutch@biostats_fhccApr 27
Congratulations to Yingqi Zhao and @jsb_ucla from our Biostatistics Program at @FredhutchOrg on being named 2026 American Statistical Association Fellows! The ASA Fellow designation is one of the field's highest honors. 🔗 amstat.org/news-listing/2026…

American Statistical Association

The American Statistical Association is the world’s largest community of statisticians, the “Big Tent for Statistics.

amstat.org
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I am deeply honored by this recognition from the ISCB, which would not have been possible without the immense trust and hard work of my trainees. I am also thankful for the strong support of my colleagues and administrative team.
Biostatistics Program at Fred Hutch@biostats_fhccApr 21
Congratulations to @jsb_ucla on her election to the 2026 Class of @iscb Fellows! 🎉 Her groundbreaking work in single-cell omics, FDR methods, and genomics has set a new bar for rigor and reproducibility in the field. A well-deserved honor! #Bioinformatics #genomics
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I hope that Nullstrap-DE can be a useful add-on to calibrate the FDR control of popular parametric DE methods, including DESeq2 and edgeR, while maintaining the strong power. Looking forward to feedback and comments from the community. We will post the scDesignPop preprint soon.
Biostatistics Program at Fred Hutch@biostats_fhccJan 21
🔥Congratulations to @jsb_ucla lab on two papers accepted to the highly selective #RECOMB2026 🎉 📌 Nullstrap-DE: arxiv.org/abs/2507.20598 📌 scDesignPop generates population-scale single-cell RNA-seq data for power analysis, method benchmarking, and privacy protection

Nullstrap-DE: A General Framework for Calibrating FDR and...

Differential expression (DE) analysis is a key task in RNA-seq studies, aiming to identify genes with expression differences across conditions. A central challenge is balancing false discovery...

arxiv.org
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The Fred Hutch Biostatistics X account is now online: @biostats_fhcc. Follow us for cutting-edge biostatistics, AI and data science in cancer research, trainee stories, faculty highlights, and more from @fredhutch. Please follow us and help spread the word!
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Fred Hutch Biostatistics is hiring (Asst/Assoc/Full Prof)! We seek scholars who lead with statistical thinking and connect computation, medicine & science across imaging, AI, genomics, clinical trials & cancer prevention. Apply by Dec 1, 2025: apply.interfolio.com/176402
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Great science happens at the intersections. STATGEN is a fantastic forum to connect, challenge assumptions, and raise the bar for rigor in genetics and genomics. Submit an abstract by December 15, 2025: forms.gle/4VgspgwTZpdELD3h7 Conference Website: statgen26.emory.edu

STATGEN 2026 Abstract Submission

STATGEN 2026 (https://statgen26.emory.edu) will be held at Emory University in Atlanta Georgia May 18-20, 2026 . Please use this form to submit a title and an abstract by December 15, 2026 to be...

docs.google.com
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1/3 Metacells boost power in single-cell RNA-seq & multiome analysis. But without checking homogeneity, they risk forming dubious metacells that bias discoveries. We introduce mcRigor: a statistical safeguard for rigorous metacell analysis. 👉 nature.com/articles/s41467-0…

mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data...

Nature Communications - Aggregating similar single cells into metacells is a common heuristic for sparse data, but risks mixing dissimilar cells. Here, authors present mcRigor, which detects and...

nature.com
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2/3 At the core of mcRigor is a feature-correlation statistic with a null derived from a double permutation scheme — a brilliant idea by my postdoc Pan Liu jsb-lab.org/people/pan-liu/ mcRigor detects dubious metacells and optimizes method & hyperparameter for a specific dataset.
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3/3 With mcRigor, downstream analyses become more reliable: ✅ gene co-expression modules ✅ enhancer–gene associations ✅ temporal expression patterns Benchmarking shows MetaCell & SEACells are better-performing methods.
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Excited to share our new method ClipperQTL published in @GenomeBiology Built on our p-value-free FDR control framework Clipper, ClipperQTL performs on par with FastQTL and runs up to 500× faster. Big thanks to my former PhD student Heather Zhou! genomebiology.biomedcentral.… #eQTL

ClipperQTL: ultrafast and powerful eGene identification method

Genome Biology - A central task in expression quantitative trait locus analysis is to identify cis-eGenes, i.e., genes whose expression levels are regulated by at least one local genetic variant....

link.springer.com
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I’m honored to join Fred Hutch as Professor and Program Head of Biostatistics, and as the Donald and Janet K. Guthrie Endowed Chair in Statistics. Excited to be part of a deeply collaborative and scientifically vibrant community with a rich legacy of impact.
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I’m deeply thankful for the incredible support and opportunities at UCLA over the past 12 years—ever since finishing my PhD. Grateful for the journey so far and looking forward to this new chapter at the intersection of statistics and biomedical science.
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I’ll speak on July 16 (2:30pm ET) at NSF@75: Advancing Statistical Science for a Data‑Driven World @InStatsOrg conference. My talk is about an info-theoretic criterion (ITCA) for combining ambiguous class labels: jmlr.org/papers/v23/21-1043.… Free registration: instats.org/seminar/nsfa75-a…
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