Talks and Other Events


  • Evaluating the Alignment of a Data Analysis between Analyst and Audience. Invited session on “Theoretical and Empirical Contributions to Data Analytic Practice”. Joint Statistical Meetings. 2021 Aug 7-12. Seattle, WA. USA.
  • Increasing the reproducibility and rigor of single-cell RNA-seq through the use of statistics and data science. Reproducible and FAIR Bioinformatics Analysis of Omics Data. 2021 Jul 15. Bar Harbor, ME. USA.
  • More (single-cell) data, more (statistical) problems. Stanford Center for Biomedical Informatics Research. Stanford School of Medicine. 2021 Feb 25. Stanford, CA. USA. (Virtual).
  • Addressing Open Challenges in Data Science Education. Department of Statistics, University of British Columbia. 2021 Feb 9. Vancouver, BC. Canada. (Virtual).


Watch a pre-conference interview here:

  • Symposium on Data Science and Statistics (SDSS). 2020 Jun 3-5. Pittsburgh, PA. USA. (Virtual due to COVID-19). Watch a pre-conference interview here:




  • Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments. Joint Statistical Meetings. 2017 Jul 29-Aug 3. Baltimore, MD, USA.
  • Estimating cell type composition in whole blood using differentially methylated regions. Bioconductor conference. 2017 Jul 26-28. Boston, MA, USA.
  • Missing Data and Technical Variability in Single Cell RNA-Sequencing Experiments. Ascona Workshop 2017: Statistical Challenges in Single Cell Biology. 2017 Apr 30-May 5. Ascona, Switzerland.
  • Setting the Stage for Reproducibility and Replicability in Science. Brandeis University. 2017 Mar 22. Waltham, MA, USA.




  • Normalization of DNA methylation and Gene Expression Data in the Context of Global Variation. Bioinformatics Meeting, Division of Immunology, Harvard Medical School. 2014 Sept 18. Boston, MA, USA.
  • quantro: When should you use quantile normalization?. Flashlight talk at the Bioconductor Conference. 2014 Jul 30-Aug 1. Boston, MA, USA.
  • ROpenSci Unconference. Invited to work with over 40 R enthusiasts from industry, academia, non-profits and government on projects supporting open data, open science and data visualization in R. Contributed to R-packages including explainr and catsplainr.


  • Modeling Discovery Of Functional SNPs From Genome Scale Data. JSM 2011. Miami, FL, USA.


  • Prediction of Missense Mutation Functionality Depends on both the Algorithm and Sequence Alignment Employed. Human Genome Variation Society’s Exploring the Functional Consequences of Genomic Variation Meeting. Washington, D.C., USA.