selected invited talks

• Methods for sparse and high-dimensional measurements of DNA methylation. Computation and Informatics in Biology and Medicine - Retreat, University of Wisconsin. 3 June 2022. Madison, WI.

• Methods for sparse and high-dimensional measurements of DNA methylation. Department of Statistics Seminar, University of Washington. 13 May 2022. Seattle, WA. [Virtual due to COVID-19]

• Plugging the leaky pipeline in statistics. UBC-SFU Joint Statistics Seminar. University of British Columbia and Simon Fraser University. 12 March 2022. Vancouver, BC. (Virtual due to COVID-19)

• Mining the epigenome: Computational tools to interpret DNA methylation data. Next-Generation Genomics Meeting. New York University. 27 September 2021. New York, NY. (Virtual due to COVID-19)

• Mining the epigenome: Computational tools to interpret DNA methylation data. Keck Seminar, The Gulf Coast Consortia for Quantitative Biomedical Sciences, Rice University. 20 November 2020. Houston, TX (Virtual due to COVID-19).

• Accurate inference of DNA methylation data: Statistical challenges lead to biological insights. Program in Quantitative Genomics Working Group Series, Harvard T.H. Chan School of Public Health. 9 April 2019. Boston, Massachusetts.

• Accurate inference of DNA methylation data: Statistical challenges lead to biological insights. Dana-Farber Cancer Institute Center for Functional Epigenetic Seminar. 15 February 2019. Boston, Massachusetts.

• Practical recommendations for controlling false discoveries in computational biology. European Bioconductor Meeting. 6-7 December 2018. Munich, Germany.

• De novo detection and accurate inference of differentially methylated regions. International Conference on Advances in Interdisciplinary Statistics and Combinatorics, 5-7 October 2018. Greensboro, North Carolina.

• Detection and inference of differentially methylated regions from bisulfite sequencing. Bioconductor Meeting. 26-28 July 2017. Boston, Massachusetts.

• Exploiting heterogeneity in single-cell transcriptomic analyses: how to move beyond comparisons of averages. 19-21 September 2016. Festival of Genomics California, San Diego, California.

selected contributed talks

• De novo detection and accurate inference of differentially methylated regions. Joint Statistical Meetings. 29 July-2 August 2018. Vancouver, British Columbia, Canada.

• scDD: A Statistical Approach for Identifying Differential Distributions in Single-Cell RNA-Seq Experiments. ASA Biometrics Section Young Investigator Travel Award Session, Joint Statistical Meetings. 30 July-4 August 2016. Chicago, Illinois.

selected posters

• Detection and accurate False Discovery Rate control of differentially methylated regions. ENCODE Consortium Meeting, 3-7 February 2018. Palo Alto, California.

• Exploiting heterogeneity in single-cell transcriptomic analyses: how to move beyond comparisons of averages. Ascona Workshop on Statistical Challenges in Single-Cell Biology. 30 April - 5 May 2017. Ascona, Switzerland.

• Bayesian nonparametric mixture modeling of expression dynamics in single-cell RNA-seq experiments. International Biometrics Society Eastern North American Region (ENAR) Spring Meeting. 15-18 March 2015. Miami, Florida.

• An integrative approach for the identification of somatic mutations that drive cancer. Genomic Sciences Training Program Retreat, Madison, WI, June 2013

tutorials

• Reproducibility and Replicability in Pharmacogenomics, Healthcare Innovation Replicathon. 24-25 March 2017. University of Puerto Rico

• Dismantling the bulk: examining neuronal heterogeneity using single-cell techniques: Tutorial on analysis of single-cell RNA-sequencing experiments. Festival of Genomics California. 19-21 September 2016. San Diego, California.

• Using Cloud Computing for Workshops: Tutorial on using RStudio Server in the cloud for workshop demos. 7 October 2016. Rafa Lab Meeting Presentation.