The inaugural conference, R / Pharma 2018 held on August 16th and 17th at Harvard University attracted a representatives from academia, government, and industry.
The R / Pharma conference began as grass-roots initiative led by data scientists working in the pharmaceutical industry to promote the use of R in Pharma, and to establish and share best practices. The founding members organized the project as an R Consortium working group, and undertook the ambitious task of launching an annual conference envisioned as a relatively small, collegial, industry-oriented event with a strong scientific program.
Keynotes (https://bit.ly/2SdvMNd) were presented by Lilliam Rosario of the FDA’s Center for Drug Evaluation and Research, Michael Lawrence Genentech/Roche and the R Core Group, and Max Kuhn and Joe Cheng from RStudio. Over forty-five talks and workshops were delivered with topics ranging from reproducible research, regulatory constraints and considerations, and package administration to scaling R for production. A considerable number of talks emphasized the development of production-grade Shiny applications. Although considerably larger than most of the Shiny applications developed, Roche’s 500,000 line application, which was presented at the conference and subsequently written up in a post (https://bit.ly/2NeXKFJ), reflects a common use case.
Melvin Munsaka - AbbVie; Bella Fang and Min Lee - Amgen; Eric Nantz - Eli Lilly; Elena Rantou and Paul Schuette - FDA; Elizabeth Hess - Harvard; James Black, Reinhold Koch, and Michael Lawrence - Genentech / Roche; Edward Louzier - Merck; Michael Blanks - PPD; Phil Bowsher - RStudio; and Harvey Lieberman - Sanofi.
Co-chairs for the program committee were Bella Feng - Amgen, John Sims - Pfizer, and Ryan Benz - SocalBioinformatics.
Program committee leads included: Melvin Munsaka - AbbVie; Robert Engle - Biogen; Elena Rantou and Paul Schuette - FDA; Elizabeth Hess - Harvard University; James Black and Reinhold Koch - Genentech/Roche; Paulo Bargo - Johnson & Johnson; Eric Nantz - Eli Lilly; Edward Lauzier - Merck; Xiao Ni- Novartis; Thomas Tensfeldt - Pfizer; and Harvey Lieberman - Sanofi.
All times below in US ET.
8:00 AM
8:00 AM
8:00 AM
8:00 AM
Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment
Devin Pastoor, Metrum Research Group
9:15 AM
Opening Remarks
9:25 AM
10:10 AM
10:30 AM
10:40 AM
IDBac: A New Paradigm in Developing Microbial Libraries for Drug Discovery
Chase Clark, University of Illinois
10:50 AM
Coffee
11:10 AM
The largest Shiny application in the world. Roche.Diagnostics.bioWARP
Sebastian Wolf, Roche / Genentech
11:30 AM
11:40 AM
Multi-state Model for the Analysis of an Association between Safety and Efficacy Events
Juliane Manitz, EDM Serono
12:10 PM
Lunch
1:30 PM
1:50 PM
The Use of R in the Development of Physiological Model for Healthy Growth
Rena J. Eudy-Byrne, Metrum Research Group
2:00 PM
Antibody Characterization Using Next Generation Sequencing made easier with Group My Abs shiny app
Volha Tryputsen, Janssen
2:10 PM
2:20 PM
Break
2:50 PM
3:35 PM
3:55 PM
Jun Li, Bristol Myers Squibb
4:05 PM
Evaluating the performance of advanced causal inference methods applied to healthcare claims data
Jessica Myers Franklin, Harvard University
4:15 PM
Optimization of raw materials genealogy in drug manufacturing with R, Shiny and d3
Tanya Cashorali, CB Analytics
4:25 PM
4:35 PM
5:05 PM
Beyond Simple Reproducibility - Discoverability, Provenance, and Improving the Impact of Results
Gabe Becker, Roche / Genentech
8:00 AM
8:00 AM
8:00 AM
The largest Shiny application in the world. Roche.Diagnostics.bioWARP
Sebastian Wolf, Roche / Genentech
9:15 AM
Opening Remarks
9:25 AM
10:10 AM
10:30 AM
10:50 AM
Break
11:10 AM
NetTCR: Towards Accurate Prediction of T-cell Targets using Deep Learning
Leon Eyrich Jessen, Technical University of Denmark
11:30 AM
11:50 AM
Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment
Devin Pastoor, Metrum Research Group
12:10 PM
Lunch
1:30 PM
1:40 PM
R4SPA: R Packages and Training to enable Statistical Programming in R
Kieran Martin, Roche / Genentech
1:50 PM
2:00 PM
2:10 PM
2:20 PM
Coffee
2:50 PM
3:30 PM
The role of R in converting clinical trial programmers to data scientists
James Black, Roche / Genentech
3:45 PM
3:55 PM
4:05 PM
4:15 PM
Marc Gastonquay, Metrum Research Group
4:25 PM
Olga Vitek, Northeastern University
4:35 PM
4:45 PM
4:55 PM
The Magic R-Shiny App that can Boost your SDTM Usability and Viability while Saving Time
Elma Zannatul Ferdousy, Katrina Paz and Nasser Al Ali, Roche / Genentech
5:05 PM
Reproducible computational research at Eisai: leadership, technology, and culture
Joseph Gerrein, Eisai
5:15 PM