You can check out my projects on my GitHub page: https://github.com/dcgerard

I currently have four R packages published on CRAN:

• David Gerard (2020a). ldsep: Linkage disequilibrium shrinkage estimation for polyploids. url: https://cran.r-project.org/package=ldsep
• David Gerard (2020b). seqgendiff: RNA-seq generation/modification for simulation. url: https://cran.r-project.org/package=seqgendiff
• David Gerard (2020c). updog: Flexible genotyping for polyploids. url: https://cran.r-project.org/package=updog
• David Gerard and Peter Hoff (2018). tensr: Covariance inference and decompositions for tensor datasets. url: https://cran.r-project.org/package=tensr

I am a strong believer in reproducible research, so a lot of my research projects involve linked, executable code and data.

• Pairwise Linkage Disequilibrium Estimation for Polyploids (2020): https://github.com/dcgerard/ld_simulations
• Data-based RNA-seq simulations by binomial thinning (2020): https://github.com/dcgerard/reproduce_fasims
• Empirical Bayes shrinkage and false discovery rate estimation, allowing for unwanted variation (2020): https://github.com/dcgerard/mouthwash_sims
• Priors for genotyping polyploids (2020): https://github.com/dcgerard/reproduce_prior_sims
• Unifying and generalizing methods for removing unwanted variation based on negative controls (in press): https://github.com/dcgerard/ruvb_sims
• Genotyping polyploids from messy sequencing data (2018): https://github.com/dcgerard/reproduce_genotyping
• Adaptive higher-order spectral estimators (2017): https://github.com/dcgerard/reproduce_sure