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About the Book

The face of academia is changing. It is no longer sufficient to just publish or perish. We are now in an era where Twitter, Github, Figshare, and Alt Metrics are regular parts of the scientific workflow. Here I give high level advice about which tools to use, how to use them, and what to look out for. This book is appropriate for scientists at all levels who want to stay on top of the current technological developments affecting modern scientific careers. The book is based in part on the author's popular guides including guides for

  • Reviewing papers
  • Reading papers
  • Career planning
  • Giving talks

The book is probably most suited to graduate students and postdocs in the sciences, but may be of interest to others who want to adapt their scientific process to use modern tools. 

About the author: Jeff Leek is an Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is a co-founder and co-director of the Johns Hopkins Data Science Specialization on Coursera that has enrolled over 3 million aspiring data scientists. His research has helped contributed to our understanding of the genomic basis of brain development, blunt force trauma, and cancer. He is blogs at Simply Statistics and can be found on twitter at @jtleek and @simplystats


About the Author

Jeffrey Leek’s avatar Jeffrey Leek

@@jtleek

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

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