Applications of R at EARL San Francisco 2017

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The Mango team held their first instance of the EARL conference series in San Francisco last month, and it was a fantastic showcase of real-world applications of R. This was a smaller version of the EARL conferences in London and Boston, but with that came the opportunity to interact with R users from industry in a more intimate setting. Hopefully Mango will return to the venue again next year, and if so I'll definitely be back!

As always with EARL events, the program featured many interesting presentations of how R is used to implement a data-driven (or data-informed) policy at companies around the world. With a dual-track program I couldn't attend all of the talks, but here are some of the applications that caught my interest:

  • Ricardo Bion (AirBnB): An keynote with an update on data science practice at AirBnB: training for everybody, the Knowledge Repository, trends in Python and R usage, and even a version of the AirBnB app implemented in Shiny!
  • Hilary Parker (Stitchfix): A wonderful keynote on bringing principles of engineering (and in particular blameless post-mortems) to data science (slides)
  • Prakhar Mehrotra (Uber): Using R to forecast demand and usage (sadly no slides, but here's R charting Uber traffic data)
  • David Croushore (Pandora): Using R and Shiny to monitor and forecast demand by users for different music services (slides).
  • David Bishop (Hitachi Solutions). Using R in the clean energy industry, with a nice demo of a Power BI dashboard to predict wind turbine anomalies, and even visualize the turbines with HoloLens (slides)
  • Tyler Cole (Amgen). Using R packages and Microsoft R Server for clinical trial submissions to the FDA (slides)
  • Luke Fostvedt (Pfizer). How R and R packages are used at various stages of the drug development process at Pfizer (slides)
  • Gabriel Becker (Genentech). Processes and R packages used at Genentech to manage the various tradeoffs for reproducibility in a multi-collaborator environment (slides)
  • Shad Thomas (Glass Box Research): Using R and Shiny for segmentation analysis in market research (slides)
  • Aaron Hamming (ProAssurance): Using R to combat the opioid epidemic by identifying suspect prescribers (slides)
  • Eduardo Ariño de la Rubia (Domino Data Lab): Using R from APIs including Rook, Rapache, Plumbr, OpenCPU and Domino (slides forthcoming)
  • Madhura Raju (Microsoft). Using R to detect distributed denial-of-service attacks (slides)
  • Slides from my own presentation, Predicting patient length-of-stay in hospitals, are available too.

There are many more interesting presentations to browse at the EARL San Francisco website. Just click on the presenter name to see the talk description and a link to slides (where available).

EARL Conference: San Francisco 2017

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