2022 Conference

Opening Remarks - Tom Mock (Posit)

Pharmaverse: Breaking boundaries through open source collaboration!

Ross Farrugia, Roche

Break

R pilot submissions to FDA

Ning Leng and Hye Soo Cho, Roche | FDA

Bundling JS for Your Shiny App

Maya Gans, Atorus Research

Building Shiny Frameworks: Some Lessons

Harvey Lieberman, Novartis

Working at the intersection of Biostatistics and Software Engineering in a Pharma company

Daniel Sabanes Bove, Roche

Break

R, Python, and Shiny in harmony: an Out-of-Box secure data backend for RStudio Connect & Workbench

Xiao Ni and Mike Stackhouse, Sarepta | Atorus Research

Drill Down Summary Tables in Shiny with Tplyr

Mike Stackhouse, Atorus Research

Roches approach to software validation: an automated pipeline from validation to publication

Coline Zeballos and Doug Kelkhoff, Roche

Break

R in the Cloud: A Holistic Approach towards GxP Compliance

Megan Chiang, ProCogia

Assuring SDTM data quality with the sdtmchecks package

Will Harris, Genentech

Analysis and visualization of large-scale drug combination experiments with Shiny

Charlie Wright, St. Jude Children Research Hospital

Panel Discussion - Governing business critical pan-company collaborative R packages

Opening Remarks - Dustin Tingley (Harvard)

BioTech Challenges

Robert Gentleman, Harvard Medical School

Break

Three new things in tidymodels

Max Kuhn, Hannah Frick, Emil Hvitfeldt, Qiushi Yan, RStudio

Co-existence of R and SAS for multiple imputation in Novo Nordisk

Claus Dethlefsen, Novo Nordisk

10 Practical Considerations for moving to R

Rose Grandy, Abbott

RStudio on Amazon SageMaker: Streamlining the Healthcare and Life Sciences Machine Learning process

Eric Peña, Angela Samples, Farooq Sabir, Zheng Yang, AWS

Break

Meet a 100% R-based CRO - the summary of a 5-year journey

Adrian Olszewski, 2KMM

Asynchronous Processing of Long-Running Tasks in Shiny

Nicole Jones, Merck

How CI/CD Enhances the Development of R packages in the Pharmaverse

Dinakar Kulkarni, Ben Straub, Craig-Gower-Page, Genentech | GSK | Roche

Break

Introducing gtreg: an R package to produce regulatory tables for clinical research

Shannon Pileggi and Daniel Sjoberg, Memorial Sloan Kettering Cancer Center

RMarkdown for enhanced Quality Control & Documentation

Patrick Hilden, Johnson & Johnson

Data Science in the Pharmaceutical Industry: A Coursera Specialisation

Kieran Martin, Roche

Panel Discussion - Finding A Way: Career stories from 4 senior level women in data science

Closing Comments - Eric Nantz (R/Pharma / Eli Lilly)