Call for Speakers

R/Pharma

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 37 days ago

R/Pharma

event starts

29 Oct 2024

event ends

1 Nov 2024

location

Online

website

rinpharma.com/


finished 118 days ago
Call for Speakers
Call opens at 12:00 AM

08 Jun 2024

Call closes at 11:59 PM

11 Aug 2024

Call closes in Eastern Daylight Time (UTC-04:00) timezone.
Closing time in your timezone () is .

We’re excited to announce that the call for talks for Virtual R/Pharma 2024 is now open !!

We are particularly interested in talks from people who cannot usually make it to the in-person event or are newer to conference speaking. R/Pharma committee members are offering free speaker coaching: as long as you have an interesting R/Pharma idea and are willing to put in some work, we’ll help you develop a great talk. Talks are short (10-20 minutes) high energy presentations that give you the chance to talk about an interesting project that you’ve tackled with R in pharma. Short talks, or demos of your R/Python code, R/Stan/Julia packages, and shiny apps are great options.

In an effort to be more globally-inclusive, R/Pharma will be hosting presentations in Asia-Pacific time zones.  When submitting a talk please note the checkbox related to presenting in the relevant time zone. 

In addition, we'll be including on-demand pre-recorded talks throughout the conference and an expo to show off your great open source code (more info on expo to follow).

We are particularly interested in submissions that have one or more of these qualities:

  • Examples of how shiny is used for interactive reporting for late-stage work
  • Showcase the use of Open Source for drug discovery and development
  • Using Open Source AI in Pharma
  • Applications from smaller pharma companies / biotechs
  • Expand the use of R in pharma to reach new domains and audiences
  • Combining R with other languages and tools, like Python, Julia, Tensorflow etc.
  • Reporting/Communication using R Markdown, Quarto, Shiny, ggplot2, or something else altogether
  • Discussions on how to teach R/data science effectively in pharma
  • Talks on administering R in pharma and tackling scaling, packages, cloud, HPC etc.

To ask a question please use the contact page on our website or email info@rinpharma.com.