R workshop: "The R will be over by Christmas: optimisation techniques"

Presented by Thomas Lumley (Auckland)
Date : June 26, 2014, 14:00-17:00
Venue : McGill University, Purvis Hall, room 25

Sponsored by the CRM and the Epidemiology, Biostatistics, and Occupational Health Student Society


In this workshop, Dr Lumley will cover:
1. Timing and profiling: you can't optimise what you can't measure
2. Vectorisation: tradeoffs against memory, code complexity
3. Better storage: sparse matrices, netCDF.
The workshop will involve lecture, exercises, and discussion of exercises.

*Please note that the lecture room is not a computer lab; participants are required to bring their own laptop computers.

Registration is free but mandatory.

Registration is limited to 40 participants.


Thomas Lumley attended Monash University (B.Sc.(Hons) in Pure Mathematics), the University of Oxford (M.Sc. in Applied Statistics) and the University of Washington, Seattle (PhD in Biostatistics). He was a faculty member in the Department of Biostatistics at the University of Washington for 12 years before joining to the Department of Statistics at the University of Auckland in 2010. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with -- currently, the design and analysis of a DNA resequencing study.