Hi, I’m Earo. I’m currently doing my Ph.D. on statistical visualisation of temporal-context data at Monash University. I’m also #rstats user and developer. I love lightweight and elegant tools, for example, rmarkdown just works as a swiss army knife that powers my posts, slides & research papers.

wang::earo %>%
  glimpse()
#> Observations: 3
#> Variables: 2
#> $ advocates <chr> "open data", "open source", "reproducible research"
#> $ uses      <chr> "rstats", "markdown", "neovim"

• Calendar-based graphics for visualizing people’s daily schedules

• Fast computation of reconciled forecasts for hierarchical and grouped time series

• Large-scale unusual time series detection

• Everything you need to know to create your own R package

• When time series meets tibble, it's tsibble!

• Calendar-based graphics for visualising people's daily schedules

• Analysing sub-daily time series data

• Sketch people's daily schedules

I’m a teaching associate for the following units at Monash University since 2014:

• ETC3550: Applied forecasting for business and economics
• ETC2420: Statistical thinking
• ETC1010: Data modelling and computing
• ETC1000: Business and economic statistics

• 2017.06 - 2017.08
  Software developer @ Google Summer of Code
• 2013.11 - 2015.08
  Research assistant @ Monash University

• 2018 ACEMS Business Analytics Prize
• 2018 ASA Statistical Graphics Student Paper Award
• Data61 Topup Postgraduate Research Scholarship
• Monash Graduate Scholarship
• 2015 Dean’s Honours List – First Class Honours