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I am currently a PhD student supervised by Di and Rob at Monash University. My PhD research focuses on tidy data structure and visualisation of temporal data, with open source implementation for , tsibble and sugrrants.

I am an advocate for open reproducible research.

• 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

• 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

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

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

• 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