Publications

  • 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

Talks

Presentations & Workshops

  • Analysing sub-daily time series data

  • Sketch people's daily schedules

  • Tidy data and statistical visualisation to support exploration of temporal data with R

Teaching

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

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

Experience

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

Software

R packages

  • anomalous CRAN_Status_Badge

    Methods for detecting anomalous time series in feature space.

  • 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

    The ‘tsibble’ provides tools to work with tidy temporal data.