Nov 5, 2025 – Permutation Enhances the Rigor of Genomics Data Analysis by Jingyi Jessica Li and mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data analysis by Pan Liu at MIA. Watch recording on YouTube

Jun 11, 2024 – Categorization of 31 computational methods to detect spatially variable genes (SVGs) from spatial transcriptomics data by Jingyi Jessica Li at WNAR. Watch recording on YouTube

Jul 25, 2023 – scDesign3: in silico data generation for multimodal single-cell and spatial omics by Jingyi Jessica Li at ISMB/ECCB 2023 RegSys COSI Presentation. Watch recording on YouTube

Jul 25, 2023 – Using synthetic null data to enhance statistical rigor in genomics by Jingyi Jessica Li at ISMB/ECCB 2023 Overton Prize Keynote Lecture. Watch recording on YouTube

May 1, 2023 – Information-theoretic classification accuracy (ITCA): how to combine ambiguous outcome labels in multi-class classification? by Jingyi Jessica Li at Colordo State University Statistics Seminar (and previously at RECOMB)

Aug 11, 2022 – scDesign3: single-cell and spatial omics simulator—benchmarking, inference & in silico controlled experiments by Jingyi Jessica Li at JSM (and previously at BIRS). Watch recording on YouTube

Nov 8, 2021 – Statistical rigor in genomics data analysis by Jingyi Jessica Li at MidAtlantic Bioinformatics Conference. Watch recording on YouTube

Oct 22, 2021 – scDesign2: an interpretable simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured by Jingyi Jessica Li at Human Cell Atlas Asia Meeting

Apr 22, 2021 – Applications of generalized additive models and copulas to single-cell RNA-seq data analysis: PseudotimeDE and scDesign2 by Jingyi Jessica Li formats: 1.5hr guest lecture (recording); 30min introduction (recording)

Apr 1, 2021 – Clipper: p-value-free FDR control on high-throughput data from two conditions by Jingyi Jessica Li at UMich Biostatistics Seminar (and previously at UPenn Biostatistics Seminar and CUHK Statistics Seminar). Watch recording on YouTube

Sep 23, 2019 – Statistical methods for bulk and single-cell RNA sequencing data by Jingyi Jessica Li at UT Southwestern

Mar 25, 2019 – Neyman-Pearson Criterion (NPC): a model selection criterion for asymmetric binary classification by Jingyi Jessica Li at ENAR

Mar 15, 2019 – Statistical methods for bulk and single-cell RNA sequencing data by Jingyi Jessica Li at City of Hope

Feb 27, 2019 – scDesign: a statistical simulator for single-cell RNA sequencing experimental design by Jingyi Jessica Li at BIRS. Watch recording on YouTube

Feb 9, 2019 – Quantitation of cis-translational control by general mRNA features in five eukaryotes by Jingyi Jessica Li at SoCal Systems Biology Conference

Jan 12, 2019 – Generalized R² measures for a mixture of bivariate linear dependences by Jingyi Jessica Li at ICSA Conference on Data Science

Nov 16, 2018 – Neyman-Pearson classification paradigm by Jingyi Jessica Li at Dahshu Virtual Journal Club

May 30, 2018 – Testing-based measures for comparing genomic samples by Jingyi Jessica Li at STATS M254

May 25, 2018 – Imputation methods for scRNA-seq data by Wei Vivian Li at STATS M254

May 21, 2018 – Statitical modeling to quantitate the central dogma by Jingyi Jessica Li at UCLA College Physical Sciences “Welcome to Research” Symposium

Apr 30, 2018 – scImpute: accurate and robust imputation for single-cell RNA-seq data by Wei Vivian Li and Jingyi Jessica Li at Dahshu Virtual Journal Club. Watch recording on YouTube

Apr 24, 2018 – Quantitating translational control: mRNA abundance-dependent and independent contributions and the mRNA sequences that specify them by Jingyi Jessica Li at RECOMB 2018