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RStudio at R/Pharma 2022

Written by Phil Bowsher
2022-10-21
RStudio logo, the at symbol, and the R in Pharma conference logo.

R/Pharma is here! Running until November 10th, this free conference focuses on the use of R and other open-source software in the development of pharmaceuticals. We are excited to announce various workshops and sessions led by our RStudio colleagues.

Register for the event to learn how RStudio is supporting open source in pharma. Workshops start on October 25th – see them all on the workshop page.

October 25th

October 27th

  • Workshop: How to use pointblank to understand, validate, and document your data, hosted by Rich Iannone (registration page)

October 31st

  • Workshop: Building a Data Science Community at Your Pharma, hosted by Rachael Dempsey (registration page)

November 1st

  • Workshop: Admin - Clinical Environment Management, hosted by Satish Murthy (J&J) and Devin Pastoor (RStudio) (registration page)

November 8th

  • Panel: Building a Data Science Community at Your Pharma, hosted by Rachael Dempsey with panelist Pharma leaders Paulo Bargo (JnJ), Guillaume Desachy (Astrazeneca), and others

November 10th

  • Talk: Three new things in tidymodels, hosted by Max Kuhn, Hannah Frick, Emil Hvitfeldt, and Qiushi Yan (talk page)

There have been a lot of new developments for modeling in the tidyverse. This talk will show off tools for censored regression, an interface to clustering, and how to use the h2o.ai platform for optimizing/fitting models.

Learn more

Find out more about R/Pharma on their website, where you can see the conference agenda and links to all workshops.

Interested in seeing what R/Pharma 2021 was like? Session videos are available on YouTube.

Keep in touch on Twitter and Slack.

Phil Bowsher

Director of Healthcare and Life Sciences at Posit, PBC
Phil is the Director of Healthcare and Life Sciences at Posit. His work focuses on innovation in the pharmaceutical industry, with an emphasis on interactive web applications, reproducible research and open-source education. He is interested in the use of R with applications in drug development and is a contributor to conferences promoting science through open data and software. He has experience at a number of technology and consulting corporations working in data science teams and delivering innovative data products. Phil has over 10 years’ experience implementing analytical programs, specializing in interactive web application initiatives and reporting needs for life science companies.