1 Schedule

When What Who
Tuesday
18:00 - 21:30 Pre-conference Dinner
Wednesday
07:30 - 09:15 Registration
08:00 - 09:00 Workshop Keeping things Peachy when Shiny gets Hairy
08:00 - 09:00 Workshop Analyzing Clinical Trials Data with R
08:00 - 09:00 Workshop Stan for Pharma
08:00 - 09:00 Workshop Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment
09:15 - 09:25 Opening Remarks Richard McCullough, Ph.D. Vice Provost of Research, Harvard University
09:25 - 10:10 Keynote Modernizing the new drug regulatory program in FDA/CDER: Can Collaborations and Sharing Help? (Lilliam Rosario)
10:10 - 10:30 Talk Using R in a regulatory environment: some FDA perspectives (Paul Schuette)
10:30 - 10:40 Lightning Talk Using R in a GxP Environment (Boyd Gonnerman, et. al.)
10:40 - 10:50 Lightning Talk IDBac: A New Paradigm in Developing Microbial Libraries for Drug Discovery (Chase Clark)
10:50 - 11:10 Break
11:10 - 11:30 Talk The largest Shiny application in the world. Roche.Diagnostics.bioWARP (Sebastian Wolf)
11:30 - 11:40 Lightning Talk R reproducibility by containers and cloud (Reinhold Koch)
11:40 - 11:50 Lightning Talk Multi-state Model for the Analysis of an Association between Safety and Efficacy Events (Juliane Manitz)
12:10 - 13:30 Lunch
13:30 - 13:40 Lightning Talk Becoming bilingual in SAS and R (Bella Feng)
13:40 - 13:50 Lightning Talk Visualization methods for RNA-sequencing data analysis (Lindsay Rutter)
13:50 - 14:00 Lightning Talk The Use of R in the Development of Physiological Model for Healthy Growth (Rena J. Eudy-Byrne)
14:00 - 14:10 Lightning Talk Antibody Characterization Using Next Generation Sequencing made easier with Group My Abs shiny app. (Volha Tryputsen)
14:10 - 14:20 Lightning Talk Managing R and Associated Tools in Large Environments - an R-Admin’s Perspective (Edward Lauzier)
14:20 - 14:50 Break
14:50 - 15:35 Keynote Modeling in the tidyverse (Max Kuhn)
15:35 - 15:55 Talk ShinyRAP - a framework for analysis and building interactive/dynamic reports using Shiny/Markdown (Xiao Ni)
15:55 - 16:05 Lightning Talk Data-Driven Strategies for Synthetic Route Design and Operational Modeling within Pharmaceutical Development (Jun Li)
16:05 - 16:15 Lightning Talk Evaluating the performance of advanced causal inference methods applied to healthcare claims data (Jessica Myers Franklin)
16:15 - 16:25 Lightning Talk Optimization of raw materials genealogy in drug manufacturing with R, Shiny and d3 (Tanya Cashorali)
16:25 - 16:35 Lightning Talk REAP - R-Shiny Exploratory Analysis Platform in Clinical Pharmacology (Qi Liu)
16:35 - 16:45 Lightning Talk rOpenSci - enabling open and reproducible research (Stefanie Butland)
17:05 - 17:25 Talk Beyond Simple Reproducibility - Discoverability, Provenance, and Improving the Impact of Results (Gabe Becker)
18:00 - 19:30 Reception
Thursday
07:30 - 09:15 Registration
08:00 - 09:00 Workshop Interactive data visualization with R, plotly, and dashR
08:00 - 09:00 Workshop The Challenges of Validating R
08:00 - 09:00 Workshop The largest Shiny application in the world. Roche.Diagnostics.bioWARP
09:15 - 09:25 Opening Remarks Dustin Tingley, Ph.D., Professor of Government, Harvard University
09:25 - 10:10 Keynote Using interactivity responsibly in pharma (Joe Cheng)
10:10 - 10:30 Talk Interactive data visualization with R, plotly, and dashR (Carson Sievert)
10:30 - 10:50 Talk Developing powerful Shiny applications in an enterprise environment: Best practices and lessons learned (Eric Nantz)
10:50 - 11:10 Break
11:10 - 11:30 Talk NetTCR: Towards Accurate Prediction of T-cell Targets using Deep Learning (Leon Eyrich Jessen)
11:30 - 11:50 Talk Analyzing Clinical Trials Data with R (Adrian Waddell)
11:50 - 12:15 Talk Moving Fast Without Breaking Things: Navigating the R Ecosystem in an Enterprise Environment (Devin Pastoor)
12:10 - 13:30 Lunch
13:30 - 13:40 Lightning Talk Unification in a Compartmentalized Culture (Mat Soukup)
13:40 - 13:50 Lightning Talk R4SPA: R Packages and Training to enable Statistical Programming in R (Kieran Martin)
13:50 - 14:00 Lightning Talk Assisting pharmacometric simulation with the use of Shiny (Jia Kang)
14:00 - 14:10 Lightning Talk R/Shiny Clinical Dashboards For Fun* and Profit *Note: Fun is Relative (Nate Mockler)
14:10 - 14:20 Lightning Talk The drake R package: reproducible data analysis at scale (Will Landau)
14:20 - 14:50 Break
14:50 - 15:35 Keynote Enabling open-source analytics in the enterprise (Michael Lawrence)
15:35 - 15:45 Lightning Talk The role of R in converting clinical trial programmers to data scientists (James Black)
15:45 - 15:55 Lightning Talk Accelerate Personalized Health Care by Empowering Biomarker Data (Xiuting Mi)
15:55 - 16:05 Lightning Talk Keeping things Peachy when Shiny gets Hairy (Marianna Foos)
16:05 - 16:15 Lightning Talk Shiny Apps in Genomics and Clinical Trials (Jessica Minnier)
16:15 - 16:25 Lightning Talk R as the Core Technology to Support Modeling and Simulation in Pharma Research, Development, and Post Approval Activities (Marc Gastonquay)
16:25 - 16:35 Lightning Talk Building a community of competent developers and users of R-based tools in mass spectrometry-based research (Olga Vitek)
16:35 - 16:45 Lightning Talk Bayesian Models for Smaller Trial Sizes (Daniel Lee)
16:45 - 16:55 Lightning Talk Enhance R Overview (Jay Timmerman)
16:55 - 17:05 Lightning Talk The Magic R-Shiny App that can Boost your SDTM Usability and Viability while Saving Time (Elma Zannatul Ferdousy & Katrina Paz)
17:05 - 17:15 Lightning Talk Reproducible computational research at Eisai: leadership, technology, and culture (Joseph Gerrein)
17:15 - 17:25 Lightning Talk The Challenges of Validating R (Andy Nicholls)
18:00 - 20:00 Informal drinks (not formally organised)