Last updated: 2018-12-13

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• ✔ R Markdown file: up-to-date

  Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

• ✔ Repository version: d9439d5

  Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.
  
  Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:

  
  Ignored files:
      Ignored:    .DS_Store
  
  Untracked files:
      Untracked:  docs/photo.jpg
  
  

  Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

Expand here to see past versions:

File	Version	Author	Date	Message
Rmd	d9439d5	courtneyschiffman	2018-12-13	wflow_publish(c(“analysis/about.Rmd”, “analysis/publications.Rmd”,
html	3fcf802	courtneyschiffman	2018-12-13	Build site.
html	2183da0	courtneyschiffman	2018-12-13	Build site.
Rmd	b31c509	courtneyschiffman	2018-12-13	Start workflowr project.

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Biostatistician, UC Berkeley

I am a fifth year PhD candidate in biostatistics at the University of California, Berkeley (expected graduation spring 2019). I have a designated emphasis in genomic and computational biology. My career aim is to work as a biostatistician in the health industry, specifically in clinical trial and computational biology research, where I can see the direct impact of statistical work on patient health and outcomes. My background is in biomarker discovery, statistical genetics and metabolomics, and data visualization and normalization. I am currently working on developing a pre-processing and biomarker discovery pipeline for untargeted metabolomics data collected from liquid chromatography mass spectrometry. This computational and statistical pipeline has been applied to metabolomics studies related to childhood leukemia and colorectal cancer.

In my personal life, you will most likely find me spending time outdoors with my dog in beautiful California. I find spending time outdoors is a great way to reduce stress, which is important during graduate school! When I am not hiking or trail running, I enjoy cooking new vegan dishes at home and spending time with friends and family.

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This reproducible R Markdown analysis was created with workflowr 1.1.1

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