Selected talks from Keegan Korthauer

• Computational tools for uncovering hidden patterns of DNA methylation. Bioinformatics, Interdisciplinary Oncology and Genome Sciences & Technology (BIG) Research Day. 20 March 2025. Vancouver, BC.

• Untangling variability in epigenomic signals. Statistical Learning and Data Science Conference. 5 November 2024. Newport Beach, CA.

• Assessment of multi-cancer detection tests with Bayesian Decision Curve Analysis. Mathematics & Statistics Department Seminar, South Dakota State University. 27 September 2024. Brookings, SD.

• Probabilistic modelling of single-cell methylation sequencing data. Women in Statistics and Data Science Conference. 26 October 2023. Bellvue, WA.

• 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).