I am a Data Scientist at Stack Overflow. In May 2015 I received my PhD in Quantitative and Computational Biology from Princeton University, where I worked with Professor John Storey. My interests include statistics, data analysis, genomics, education, and programming in R.
- broom: an R package for converting messy model outputs to a tidy format, for use with tools such as dplyr and tidyr.
- gganimate: an R package for creating animations within the grammar of graphics.
- subSeq: Subsample reads from an RNA-Seq experiment to determine if it has sufficient depth.
- stackr: R package for connecting to the Stack Exchange API.
- snippr: R package for managing, sharing, and installing RStudio code snippets.
- ParsePy: a Python API client for the Parse mobile backend.
- gleam: Python package for building interactive online visualizations without web programming.
- OASIS: Python package for annotating insertion sequences in prokaryotic genomes.
- BarNone: Python package to match barcodes in sequencing data to a catalog based on Levenshtein distance.
- Johnson EL, Robinson D.G., Coller HA. (2017) Widespread changes in mRNA stability contribute to quiescence-specific gene expression patterns in a fibroblast model of quiescence. BMC Genomics 2017, 18(1):123.
- Robinson, D.G. (2015) broom: An R package for converting statistical analysis objects into tidy data frames. arXiv preprint. arXiv:1412.3565 [stat.CO].
- Robinson, D.G., Wang, J., and Storey, J.D. (2014) A nested parallel experiment demonstrates differences in intensity-dependence between RNA-seq and microarrays. biorXiv preprint. doi:10.1101/013342.
- Robinson, D.G. and Storey, J.D. (2014) subSeq: Determining appropriate sequencing depth through efficient read subsampling. Bioinformatics, 30 (23): 3424-3426. doi: 10.1093/bioinformatics/btu552.
- Robinson, D.G., Chen, W., Storey, J.D., and Gresham, D. (2014) Design and Analysis of Bar-seq Experiments. G3: Genes/Genomes/Genetics, 4(1), 11-18
- Robinson, D.G., Lee, M.C. and Marx, C.J. (2012) OASIS: an automated program for global investigation of bacterial and archaeal insertion sequences. Nucleic Acids Research, 10.1093/nar/gks778.
I also built an online R video course, Data Analysis and Visualization Using R.
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