Biostatistics Computing Club

The Columbia Biostatistics Computing Club hosts seminars focusing on computational topics often encountered in biostatistics research. These sessions provide hands-on learning at various skill levels, bringing new students up to speed and addressing more advanced problems with others. A student volunteer runs each session and prepares tutorials on topics of interest, including R, LaTeX, and Illustrator.

In the past, we have hosted monthly meetings on a wide range of topics, including the terminal and R packages, such as ggplot, ggmaps, and Shiny. This year, due to the shift to online-only events and increased interest in the Club, we have continued to host biweekly sessions. In addition to past sessions on LaTeX and how to set up your computer as a statistician, we plan to offer new sessions on SQL, package development in R, and Python. We will also collaborate with the Columbia Mailman School’s Causal Inference Learning Group and Career China Club.

Our overarching goal is to teach students valuable skills in their research and work in industry. We hope our meetings encourage students to interact with each other and to build a community outside of coursework. This year’s organizers are Angel Garcia de la Garza, Charlotte Fowler, Amy Pitts, Emil Hafeez, Fiona Ehrich, and Safiya Sirota.

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