Webinars
The R Adoption Series
This is a series of webinars focused on the adoption of R. Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions.
R Consortium will keep this page updated with information on future webinars in the R Adoption series. If there is some information that you are looking for specifically and you don’t see it here, feel free to email us at info@r-consortium.org
Upcoming Webinars
Learn more: Containerization and R for Reproducibility and More
Learn more: Tidy Finance Webinar Series
Learn more: Quantification of participation risk using R and RShiny
Archived Webinars – Full Recordings Available
Learn more: Unlocking Insights from LatinR: Collaboration and Innovation in Data Science Webinar
Learn more: R/Medicine: Quarto for Reproducible Medical Manuscripts
Learn more: Tidy Finance and Accessing Financial Data
Learn more: Escape the Data Dungeon: Unlock Scalable R Analytics and ML
Learn more: From Vision to Action: The Pfizer R Center of Excellence-led journey to R Adoption
Learn more: R/Insurance Series: For Everyone in Insurance or Actuarial Science
Learn more: R/Medicine Webinar: Visualizing Survival Data with the {ggsurvfit} R Package
Learn more: R/Adoption Series: The Adoption of R in Japan’s Pharma Industry Confirmation
Learn more: R/Adoption Series: R and shiny in regulatory submission
Learn More: R/Adoption Series: Learnings and Reflection from R Validation Case Studies
- Juliane Manitz, Senior Expert Biostatistician at EMD Serono
- Doug Kelkhoff, Principal Data Scientist / Statistical Software Engineer at Roche
- Uday Preetham Palukuru, Standards lead at Merck & Co.
- Eric Milliman, Senior Principal Data Scientist at Biogen
Learn More: Teal: An R-Shiny Framework to Unlock the Power of Interactive Data Exploration
Chendi Liao, Principal Statistical Programmer Analyst, Roche Canada • Dony Unardi, Principal Data Scientist, Genentech
Learn More: R Adoption Series: Introducing the Software Engineering Working Group and {mmrm}
Ben Arancibia, Data Scientist – Senior Manager At GSK • Yoni Sidi, Director of Modeling and Simulation at Sage Therapeutics
Learn More: R/Database: Using R at Scale on Database Data
Learn More: Upskilling on Data Handling and Communication at Swiss Re
Learn More: Using Metadata for Speedy Delivery Re
Christina Fillmore, Data Scientists and R developer at GSK • Yujie Zhao, is a Senior Scientist (Biostatistics) at Merck & Co., Inc • Keaven Anderson, Scientific Assistant VP of Methodology Research in the Biostatistics and Clinical Research Decision Sciences group at Merck
Learn More: Using R in Regulatory Review
Hye Soo Cho, Statistical Analyst, FDA/CDER • Tae Hyun (Ryan) Jung, Ph.D., Senior Statistical Reviewer in FDA/CDER/OTS/OB/DBVI • Paul Schuette, Scientific Computing Coordinator, FDA • Ning Leng, Director, Product Development Data Sciences, Roche • Coline Zeballos, R Strategy Lead, Roche
Learn More: Speaking Different Languages
Michael Rimler, Head of Technical Excellence and Innovation at GlaxoSmithKline • Mike Stackhouse, Chief Innovation Officer at Atorus
Learn More: R Management at Roche
Kieran Martin, R Enablement Lead: PD Data Sciences at Roche • Tadeusz Lewandowski, Pan-Pharma collaboration product lead at Roche • Adrian Waddell, Chief Engineer NEST Project
Learn More: R Training Strategies at Janssen
Paulo R. Bargo, Ph.D., Head of R&D Data and Advanced Analytics, Ethicon • Dan Hofstaedter, is a statistical programmer within the Janssen Clinical & Statistical Programming group • Gayathri Kolandaivelu, has over 13 years of experience in the pharmaceutical industry
