In Person
8 - 11 July, 2024
Learn more and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for useR! 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The virtual program will take place on 2 July. Please see the virtual schedule page for more information.

Yangzhuoran Fin Yang

Monash University
PhD Candidate

Yangzhuoran Fin Yang is a PhD candidate in the Department of Econometrics and Business Statistics at Monash University. His PhD project is on the use of transformations of time series to improve forecasting. Fin is active in research software development, (co)authoring open source implementations of algorithms and data, including the R packages tsfeatures, RRRR, demography, ycevo, lazybar and Mcomp, all on CRAN, with several other packages available on GitHub.

My Speakers Sessions

13:35 CEST

roam: Remote Objects with Active-Binding Magic - Yangzhuoran Fin Yang, Monash University Pinzgau + Tennegau