schedule

R/Pharma 2018

All times below in US ET

  • 8:00 AM - 9:00 AM

    Workshop

    Keeping things Peachy when Shiny gets Hairy

    Marianna Foos

    Biogen

  • 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

  • 9:25 AM

    Keynote

    Modernizing the new drug regulatory program in FDA/CDER: Can Collaborations and Sharing Help?

    Lilliam Rosario

    FDA

  • 10:10 AM

    Using R in a regulatory environment: some FDA perspectives

    Paul Schuette

    FDA

  • 10:30 AM

    Using R in a GxP Environment

    Boyd Gonnerman, John Sims, Frank DePierro and Peter Giardina

    Pfizer

  • 10:40 AM

    IDBac: A New Paradigm in Developing Microbial Libraries for Drug Discovery

    Chase Clark

    University of Illinois at Chicago

  • 10:50 AM

    Break

  • 11:10 AM

    The largest Shiny application in the world. Roche.Diagnostics.bioWARP

    Sebastian Wolf

    Roche

  • 11:30 AM

    R reproducibility by containers and cloud

    Reinhold Koch

    Roche / Genentech

  • 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

    Becoming bilingual in SAS and R

    Bella Feng

    Amgen

  • 1:40 PM

    Visualization methods for RNA-sequencing data analysis

    Lindsay Rutter

    Iowa State University

  • 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

    Managing R and Associated Tools in Large Environments - an R-Admin’s Perspective

    Ed Lauzier

    Merck

  • 2:20 PM

    Break

  • 2:50 PM

    Keynote

    Modeling in the tidyverse

    Max Kuhn

    Rstudio

  • 3:35 PM

    ShinyRAP - a framework for analysis and building interactive/dynamic reports using Shiny/Markdown

    Xiao Ni

    Novartis

  • 3:55 PM

    Data-Driven Strategies for Synthetic Route Design and Operational Modeling within Pharmaceutical Development

    Jun Li

    BMS

  • 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

    TCB Analytics

  • 4:25 PM

    REAP - R-Shiny Exploratory Analysis Platform in Clinical Pharmacology

    Qi Liu

    Genentech

  • 4:35 PM

    rOpenSci - enabling open and reproducible research

    Stefanie Butland

    rOpenSci

  • 5:05 PM

    Beyond Simple Reproducibility - Discoverability, Provenance, and Improving the Impact of Results

    Gabe Becker

    Genetech

  • 8:00 AM - 9:00 AM

    Workshop

    Interactive data visualization with R, plotly, and dashR

    Carson Sievert

    Sievert Consulting LLC

  • 8:00 AM - 9:00 AM

    Workshop

    The Challenges of Validating R

    Andy Nicholls

    Glaxosmithkline

  • 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

  • 10:10 AM

    Interactive data visualization with R, plotly, and dashR

    Carson Sievert

    Sievert Consulting LLC

  • 10:30 AM

    Developing powerful Shiny applications in an enterprise environment: Best practices and lessons learned

    Eric Nantz

    Eli Lilly

  • 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

    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

  • 1:40 PM

    R4SPA: R Packages and Training to enable Statistical Programming in R

    Kieran Martin

    Roche

  • 1:50 PM

    Assisting pharmacometric simulation with the use of Shiny

    Jia Kang

    Metrum Research Group

  • 2:00 PM

    R/Shiny Clinical Dashboards For Fun* and Profit *Note: Fun is Relative

    Nate Mockler

    Biogen

  • 2:10 PM

    The drake R package: reproducible data analysis at scale

    Will Landau

    Eli Lilly

  • 2:20 PM

    Break

  • 2:50 PM

    Keynote

    Enabling open-source analytics in the enterprise

    Michael Lawrence

    Roche / Genentech

  • 3:35 PM

    The role of R in converting clinical trial programmers to data scientists

    James Black

    Roche

  • 3:45 PM

    Accelerate Personalized Health Care by Empowering Biomarker Data

    Xiuting Mi

    Roche

  • 3:55 PM

    Keeping things Peachy when Shiny gets Hairy

    Marianna Foos

    Biogen

  • 4:05 PM

    Shiny Apps in Genomics and Clinical Trials

    Jessica Minnier

    Oregon Health & Science University

  • 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

  • 4:25 PM

    Building a community of competent developers and users of R-based tools in mass spectrometry-based research

    Olga Vitek

    Northeastern University

  • 4:35 PM

    Bayesian Models for Smaller Trial Sizes

    Daniel Lee

    Generable

  • 4:45 PM

    Enhance R Overview

    Jay Timmerman

    Covance

  • 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

  • 5:05 PM

    Reproducible computational research at Eisai: leadership, technology, and culture

    Joseph Gerrein

    Eisai

  • 5:15 PM

    The Challenges of Validating R

    Andy Nicholls

    Glaxosmithkline