Love Lab
  • Lab members
  • Papers
  • Software
  • Talks
  • Teaching

Talks

  • April 10, 2025 - University of Chicago, Department of Human Genetics
  • January 27, 2025 - Duke Computational Biology and Bioinformatics
    Tidyomics: enabling tidy data analysis workflows for complex biological data – qmd source
  • August 2024 - “Strategies for Cross-Cohort and Bioank Analyses in Precision Medicine”, organized by Jean Yang and Katherina Kechris, JSM 2024, Portland, Oregon
  • April 2024 - Genetics, Bioinformatics, and Systems Biology, University of California San Diego
  • April 2024 - Department of Genetics, Washington University School of Medicine
  • March 2024 - Psychiatric Genomics Consortium (PGC) Worldwide Lab Meeting (WWL)
    Tidyomics - a R/Bioconductor framework for exploratory analysis of genomic data
    YouTube ▶
  • March 2024 - Center for Genomic Science Innovation, University of Wisconsin at Madison
  • February 2024 - Biometric Colloquium, German Region of the International Biometric Society
  • February 2024 - IGVF MPRA Workshop, Lübeck, Germany
    Multiple signal eQTL and GWAS loci and MPRA
  • February 2024 - Department of Statistics, Technische Universität Dortmund
  • November 2023 - Analysis of RNA sequencing data with R/Bioconductor (online)
  • October 2023 - Center for Public Health Genomics, University of Virginia
    Tidy analysis of genomic data
  • September 2023 - Biostatistics Department, University of Michigan
  • August 2023 - BioC2023 contributed workshop with Stefano Mangiola
    Tidy genomic and transcriptomic analyses
  • June 2023 - CSAMA - Transcriptomics lecture series, Introduction to bootstrapping
  • March 2023 - ENAR - Advances in Statistical Methods for Cell-Type-Specific Analyses, invited
    Cell-Type-Specific Gene Regulation in Human Neural Progenitors and Neuronal Progeny
  • March 2023 - Computational Health Department, Helmholtz Zentrum Munchen
  • December 2022 - Tidy Genomics Analysis Workshop with Stefano Mangiola
    YouTube ▶ ~ Tidy Enrichment Analysis and Tidy Transcriptomics
    Slides and R code: Tidy Enrichment, Tidy Transcriptomics
  • November 2022 - Statistics Department, Texas A&M University
    YouTube ▶ ~ Statistical challenges in analysis of tumor subtypes
  • October 2022 - Biostatistics Department, University of Washington
  • July 2022 - BioC2022 contributed workshop with Euphy Wu
    YouTube ▶ ~ SEESAW: Statistical Estimation Of Allelic Expression Using Salmon And Swish
  • March 2022 - ENAR - Statistical Methods for Single-Cell Sequencing Data, invited
    Quantification Uncertainty in Single-Cell Expression Data
  • March 2022 - MRC Integrative Epidemiology Unit, University of Bristol
    YouTube ▶ ~ Gene-to-trait effect estimation with MRLocus
  • December 2021 - Institute for Genome Sciences, UMD Baltimore
    YouTube ▶ ~ Isoform and Allelic Analysis for RNA-seq Data Accounting for Quantification Uncertainty
  • September 2021 - Department of Biostatistics, VCU
  • August 2021 - JSM - Genomic in Neuroscience, invited
  • June 2021 - Genetics, Genomics and Informatics Virtual Seminar, The University of Tennessee Health Science Center
  • May 2021 - Bioinformatics Chat with Roman Cheplyaka
    Podcast 🎙 ~ Differential gene expression and DESeq2
  • April 2021 - MAQC2021
    Bias correction and reference hashing for accurate RNA-seq quantification
    YouTube ▶ ~ slides pt1 slides pt2
    3rd place MAQC Scientist Research Award
  • December 2020 - Department of Statistics, Penn State University
    Assessing Consistency of Bulk and Single Cell Unsupervised Multi-Modal Methods
  • December 2020 - Institute for Personalized Medicine Seminar Series, Icahn School of Medicine, Mount Sinai Hospital, Robust and reproducible genomic data analysis
  • September 2020 - R-Ladies Tunis
    YouTube ▶ ~ Introduction to RNA-seq pipelines
  • July 2020 - BioC2020 contributed workshop with Avi Srivastava
    YouTube ▶ ~ Importing alevin scRNA-seq counts into R/Bioconductor
  • June 2020 - BIRS: Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types
    BIRS ▶ ~ Assessing Consistency of Single Cell Unsupervised Multi-Modal Methods
  • March 2020 - ENAR - Recent advanced and opportunities in large scale and multi-omic single cell data analysis, invited
    Assessing consistency of unsupervised single-cell multi-omic methods
  • March 2020 - Human Genetics Seminar Series, University of Utah
    Robust and reproducible genomic data analysis
  • December 2019 - Statistical Genetics Seminar, Biostatistics Department, Johns Hopkins University
    Genetically regulated tumor gene expression in the Carolina Breast Cancer Study
  • November 2019 - APHA - Spiegelman Awardee Invited Session - organized by Raphael Gottardo Genetically regulated tumor gene expression in the Carolina Breast Cancer Study
  • July 2019 - JSM - Making an Impact in Statistics Education through Innovation and Outreach, invited
    Rmarkdown Workflows Make New Statistical Methods Accessible to Biomedical Researchers
  • May 2019 - Symposium on Data Science & Statistics (SDSS) - Democratizing Data Science with Workflows, invited
    Publishing Literate Programming Workflows in Scientific Journals
  • March 2019 - ENAR - Teaching Data Science through Case Studies, invited
    Teaching Genomic Data Science
  • March 2019 - Department of Biostatistics and Bioinformatics, Emory University
    Assessing consistency of unsupervised multi-omics methods
  • February 2019 - Epigenetics and Stem Cell Biology seminar series, NIEHS
  • November 2018 - Epigenetics and Epigenomics Program Seminar Series, Duke University
  • October 2018 - Computational Biology & Bioinformatics Series, Duke University
  • September 2018 - Department of Biostatistics, Brown University
    Adaptive priors for estimating effect size with genomic data
  • July 2018 - BioC2018, Toronto
    Automatic metadata and transcript ranges with tximeta
  • May 2018 - Bioinformatics Research Center Seminar Series, North Carolina State University
  • March 2018 - ENAR - Teaching Data Science at All Levels, invited
    “Teaching Data Science for Life Sciences”
  • February 2018 - Center for Public Health Genomics, UVa
    YouTube ▶ ~ Fragment-level bias modeling for RNA-seq Data Analysis
  • December 2016 - Computational Biology, Bioinformatics & Genomics, University of Maryland, College Park
  • October 2016 - Triangle Statistical Genetics Meeting*, SAS Campus, Cary