I’m a PhD candidate at Monash University and future faculty at University of Auckland. My research focuses on statistical computing and graphics, and data science. I translate research methodology into open source packages for . I have received the 2019 John Chambers Statistical Software Award from the ASA for developing the tsibble package. My thesis is “Tidy tools for supporting fluent workflow in temporal data analysis”, supervised by Di and Rob.

I’m an advocate for open and reproducible research. My research projects are structured in an opinionated way—an adapted form of research compendium.

I write blog posts and technical notes.

Briefly speaking, I turn coffee (mostly flat white) into code.

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This website is powered by and adapted from the Academic theme. You can find the source code here.

• 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

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

• 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

I'm the maintainer for the following R packages on CRAN:

• 2019 John Chambers Statistical Software 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