The Columbia Biostatistics Computing Club hosts casual seminars focusing on computational topics often encountered in biostatistics research. These tutorials provide hands-on learning at a variety of skill levels, with some focused on bringing new students up to speed and others addressing more advanced problems. Our overarching goal is to impart good programming practices that encourage collaborative reproducible research!
This year’s organizers are Angel Garcia de la Garza, Rebecca Silva, Charly Fowler, Amy Pitts, Safiya Siroto, Emil Hafeez, and Fiona Ehrich. Angel is a fourth-year Ph.D student, Charly and Rebecca are 3rd-year Ph.D students, Amy is a 2nd-year Ph.D student and Safiya is a 1st-year Ph.D student. Emil and Fiona are second-year Master’s students on the Theory and Methods track. The group is run with the help of faculty advisor Christine Mauro. A schedule for the upcoming events is below and will be regularly updated. Please fill out this survey to let us know what topics you are most interested in. For other inquiries, you can contact firstname.lastname@example.org.
|Speaker Panel: Set yourself up for success||Sept. 21, 2021; 12:00 - 1:00pm||Zoom|
|LaTex||Oct. 5, 2021; 12:00 - 1:00pm||Zoom|
|Python||Oct. 19, 2021; 12:00 - 1:00pm||Zoom|
|Causal Inference Working Group Joint Meeting||Nov. 3, 2021; 12:00 - 1:00pm||Zoom|
|R-Shiny||Nov. 16, 2021; 12:00 - 1:00pm||Zoom|
|Working with maps in R||Nov. 30, 2021; 12:00 - 1:00pm||Zoom|
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