• A new tidy data structure to support exploration and modeling of temporal data

  • 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


Presentations & Workshops

More Talks

  • Melt the clock: tidy time series analysis

  • Tidy your time series analysis with tsibble

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

  • tsibble: The 15th time series standard

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


R packages

I have contributed a number of R packages. These packages that I maintain on CRAN are listed.
  • hts CRAN_Status_Badge

    Methods for analysing and forecasting hierarchical and grouped time series.

  • rwalkr CRAN_Status_Badge

    Provides API to Melbourne pedestrian data in tidy data form.

  • sugrrants CRAN_Status_Badge

    Provides ‘ggplot2’ graphics for analysing time series data.

  • tsibble CRAN_Status_Badge

    Tidy temporal data frames and tools.


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


  • 2018.08 - 2018.09
    Visiting scholar @ Iowa State University
  • 2017.05 - 2018.07
    Programme committee @ useR! 2018 Conference
  • 2017.06 - 2017.08
    Software developer @ Google Summer of Code
  • 2013.11 - 2015.08
    Research assistant @ Monash University


Honours & Awards

  • 2019 John Chambers Statistical Software Award
  • 2018 ACEMS Impact and Engagement Award
  • 2018 Altas of Living Australia & useR! 2018 Data Challenge First Prize
  • 2018 ACEMS Business Analytics Prize
  • 2018 ASA Statistical Graphics Student Paper Award
  • 2017 Data61 Topup Postgraduate Research Scholarship
  • 2016 Monash Graduate Scholarship
  • 2015 Dean’s Honours List – First Class Honours

Just for Fun

Point & Shoot