Talks and Other Events


  • CSHL Summer Course on Single Cell Analysis. 2022 Jul 1-16. Cold Spring Harbor Laboratory. USA.
  • Department of Biochemistry and Molecular Biology. Michigan State University. 2022 Apr 14. Lansing, MI. USA.
  • Department of Physiology and Biophysics and the Institute for Computational Biomedicine (ICB) at Weill Cornell Medicine (WCM). 2022 Mar 14. New York City, NY. USA.
  • Applied Bioinformatics in Life Sciences (4th edition). VIB Conference (Plenary session). 2022 Mar 10-11. Leuven, Belgium.
  • Spring MIT Bioinformatics Seminar Series. MIT Math Department and the Computer Science and Artificial Intelligence Laboratory (CSAIL). Massachusetts Institute of Technology. 2022 Feb 23. Boston, MA. USA. (Virtual).
  • Department of Biostatistics. Virginia Commonwealth University. 2022 Feb 4. Richmond, VA. USA.
  • Department of Mathematics & Statistics. McMaster University. 2022 Jan 28. Hamilton, Ontario, Canada. (Virtual).



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.