Workshop
Keeping things Peachy when Shiny gets Hairy
Marianna Foos
Biogen
schedule
R/Pharma 2018
All times below in US ET
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8:00 AM - 9:00 AM
-
8:00 AM - 9:00 AM
Workshop
Analyzing Clinical Trials Data with R
Adrian Waddell
Roche
-
8:00 AM - 9:00 AM
Workshop
Stan for Pharma
Daniel Lee
Generable
-
8:00 AM - 9:00 AM
Workshop
Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment
Devin Pastoor
Metrum Research Group
-
9:15 AM
Opening Remarks
Richard McCullough
Harvard University
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9:25 AM
Keynote
Modernizing the new drug regulatory program in FDA/CDER: Can Collaborations and Sharing Help?
Lilliam Rosario
FDA
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10:10 AM
Using R in a regulatory environment: some FDA perspectives
Paul Schuette
FDA
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10:30 AM
Using R in a GxP Environment
Boyd Gonnerman, John Sims, Frank DePierro and Peter Giardina
Pfizer
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10:40 AM
IDBac: A New Paradigm in Developing Microbial Libraries for Drug Discovery
Chase Clark
University of Illinois at Chicago
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10:50 AM
Break
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11:10 AM
The largest Shiny application in the world. Roche.Diagnostics.bioWARP
Sebastian Wolf
Roche
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11:30 AM
R reproducibility by containers and cloud
Reinhold Koch
Roche / Genentech
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11:40 AM
Multi-state Model for the Analysis of an Association between Safety and Efficacy Events
Juliane Manitz
EDM Serono
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12:10 PM
Lunch
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1:30 PM
Becoming bilingual in SAS and R
Bella Feng
Amgen
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1:40 PM
Visualization methods for RNA-sequencing data analysis
Lindsay Rutter
Iowa State University
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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
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2:10 PM
Managing R and Associated Tools in Large Environments - an R-Admin’s Perspective
Ed Lauzier
Merck
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2:20 PM
Break
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2:50 PM
Keynote
Modeling in the tidyverse
Max Kuhn
Rstudio
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3:35 PM
ShinyRAP - a framework for analysis and building interactive/dynamic reports using Shiny/Markdown
Xiao Ni
Novartis
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3:55 PM
Data-Driven Strategies for Synthetic Route Design and Operational Modeling within Pharmaceutical Development
Jun Li
BMS
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4:05 PM
Evaluating the performance of advanced causal inference methods applied to healthcare claims data
Jessica Myers Franklin
Harvard University
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4:15 PM
Optimization of raw materials genealogy in drug manufacturing with R, Shiny and d3
Tanya Cashorali
TCB Analytics
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4:25 PM
REAP - R-Shiny Exploratory Analysis Platform in Clinical Pharmacology
Qi Liu
Genentech
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4:35 PM
rOpenSci - enabling open and reproducible research
Stefanie Butland
rOpenSci
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5:05 PM
Beyond Simple Reproducibility - Discoverability, Provenance, and Improving the Impact of Results
Gabe Becker
Genetech
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8:00 AM - 9:00 AM
Workshop
Interactive data visualization with R, plotly, and dashR
Carson Sievert
Sievert Consulting LLC
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8:00 AM - 9:00 AM
Workshop
The Challenges of Validating R
Andy Nicholls
Glaxosmithkline
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8:00 AM - 9:00 AM
Workshop
The largest Shiny application in the world. Roche.Diagnostics.bioWARP
Sebastian Wolf
Roche
-
9:15 AM
Opening Remarks
Dustin Tingley
Harvard University
-
9:25 AM
Keynote
Using interactivity responsibly in pharma
Joe Cheng
Rstudio
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10:10 AM
Interactive data visualization with R, plotly, and dashR
Carson Sievert
Sievert Consulting LLC
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10:30 AM
Developing powerful Shiny applications in an enterprise environment: Best practices and lessons learned
Eric Nantz
Eli Lilly
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10:50 AM
Break
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11:10 AM
NetTCR: Towards Accurate Prediction of T-cell Targets using Deep Learning
Leon Eyrich Jessen
Technical University of Denmark
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11:30 AM
Analyzing Clinical Trials Data with R
Adrian Waddell
Roche
-
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
Unification in a Compartmentalized Culture
Mat Soukup
FDA
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1:40 PM
R4SPA: R Packages and Training to enable Statistical Programming in R
Kieran Martin
Roche
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1:50 PM
Assisting pharmacometric simulation with the use of Shiny
Jia Kang
Metrum Research Group
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2:00 PM
R/Shiny Clinical Dashboards For Fun* and Profit *Note: Fun is Relative
Nate Mockler
Biogen
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2:10 PM
The drake R package: reproducible data analysis at scale
Will Landau
Eli Lilly
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2:20 PM
Break
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2:50 PM
Keynote
Enabling open-source analytics in the enterprise
Michael Lawrence
Roche / Genentech
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3:35 PM
The role of R in converting clinical trial programmers to data scientists
James Black
Roche
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3:45 PM
Accelerate Personalized Health Care by Empowering Biomarker Data
Xiuting Mi
Roche
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3:55 PM
Keeping things Peachy when Shiny gets Hairy
Marianna Foos
Biogen
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4:05 PM
Shiny Apps in Genomics and Clinical Trials
Jessica Minnier
Oregon Health & Science University
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4:15 PM
R as the Core Technology to Support Modeling and Simulation in Pharma Research, Development, and Post Approval Activities
Marc Gastonquay
Metrum Research Group
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4:25 PM
Building a community of competent developers and users of R-based tools in mass spectrometry-based research
Olga Vitek
Northeastern University
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4:35 PM
Bayesian Models for Smaller Trial Sizes
Daniel Lee
Generable
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4:45 PM
Enhance R Overview
Jay Timmerman
Covance
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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
Genentech
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5:05 PM
Reproducible computational research at Eisai: leadership, technology, and culture
Joseph Gerrein
Eisai
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5:15 PM
The Challenges of Validating R
Andy Nicholls
Glaxosmithkline