schedule

R/Pharma 2020

All times below in US ET

  • 10:00am

    Opening Remarks

    Harvey Lieberman

    R/Pharma

  • 10:10am

    Challenges in an Evolving Regulatory Landscape: How Statisticians can Contribute

    Matilde Kam

    FDA

  • 10:50am

    Break

  • 11:00am

    Stack’Em High! Ensembles Using tidymodels

    Max Kuhn / Simon Couch

    RStudio and Reed College

  • 11:20am

    The R Validation Hub: Implementing a Risk-Based Approach to R

    Andy Nicholls

    Glaxosmithkline

  • 11:40am

    Interactive Medical Oversight Reporting in R

    Laure Cougnaud / Michela Pasetto / Arne de Roeck

    OpenAnalytics and Galapagos

  • 11:50am

    Implementing Mixed Models with Repeated Measures (MMRM) in R and Shiny for Regulatory Purposes

    Daniel Sabanes Bove

    Roche

  • 12:00pm

    Break

  • 12:20pm

    R Package Validation Framework

    Ellis Hughes

    Fred Hutch

  • 12:40pm

    metashiny: Build Shiny Apps with a Shiny App

    Bo Wang

    Novartis

  • 12:50pm

    Out of Chaos, Comes Order: Adventures in Standardized and Reproducible Research

    Leigh Alexander

    SomaLogic

  • 1:10pm

    Break

  • 1:20pm

    Numerical Validation as a Critical Aspect in Bringing R to the Clinical Research

    Adrian Olszewski

    2kmm

  • 1:30pm

    geoMapr: A Shiny Application for Enriched Analysis of Drug Utilization Data

    Jae Joon Song

    FDA

  • 1:50pm

    Becoming Multilingual

    Bella Feng

    Gilead

  • 2:00pm

    Closing Remarks

    Devin Pastoor

    Metrum

  • 10:00am

    Opening Remarks

    Timothy Tsai

    Harvard University

  • 10:10am

    Data Visualization Practices for Real World Machine Learning

    Julia Silge

    RStudio

  • 10:50am

    Break

  • 11:00am

    Using R to Create End to End Process Predicting Delay in Recruitment from Covid-19

    Christina Fillmore

    Glaxosmithkline

  • 11:20am

    With Great Graphs Comes Great Power

    Baldur Magnusson

    Novartis

  • 11:40am

    visR - A Package for Effective Visualizations in Pharma

    Charlotta Früchtenicht

    Roche

  • 11:50am

    safetyGraphics v2.0 - Open Source Collaboration in Pharma using R and Shiny

    Jeremy Wildfire

    Gilead

  • 12:00pm

    Break

  • 12:20pm

    Styling Shiny & R Markdown with bootstraplib & thematic

    Carson Sievert

    RStudio

  • 12:40pm

    Clinical Reporting Using R at GSK

    Michael Rimler

    Glaxosmithkline

  • 12:50pm

    Leveraging Nested Data Frames in Regulatory Submissions

    Mike Mehan

    Illumina Inc

  • 1:00pm

    PREP – Packages fRom tEmPlates -An R Package to Streamline Development of Shiny Apps and R Packages

    J. Kyle Wathen

    Gilead

  • 1:10pm

    Break

  • 1:20pm

    openNCA - open source Pharmacokinetic data repository and Non-compartmental Analysis System

    Thomas Tensfeldt

    Pfizer

  • 1:40pm

    tidyCDISC an Open Source Platform in R to Analyze Clinical Trial Data

    Maya Gans / Marly Gotti

    Cytel and Biogen

  • 1:50pm

    Tplyr: An Intuitive Framework for Building Clinical Safety Summaries

    Mike Stackhouse

    Atorus

  • 2:00pm

    yspec: an R Package to Create and Deploy Data Set Specification Objects in a Modeling and Simulation Workflow

    Kyle Baron

    Metrum

  • 2:10pm

    Closing Remarks

    Paul Schuette

    FDA

  • 10:00am

    Opening Remarks

    Raul Torres

    Takeda

  • 10:10am

    Would John, Paul, George or Ringo Have Been Famous if it Were Not For The Beatles

    Douglas Robinson

    Novartis

  • 10:50am

    Break

  • 11:00am

    Julia in Pharma: The Ease of R Combined With The Speed of C++

    Viral Shah / Vijay Ivaturi

    Julia Computing and University of Maryland

  • 11:20am

    Seamless Visualisation of Complex Genomic Variations in GMOs and Edited Cell Lines Using gmoviz

    Kathleen Zeglinski

    csl

  • 11:30am

    Using R Markdown to Generate Clinical Trials Summary Reports

    Radhika Etikala / Xuehan (Emily) Zhang

    Fred Hutch

  • 11:40am

    Reproducible Computation at Scale With targets

    Will Landau

    Eli Lilly

  • 11:50am

    Building and Managing Unified R Environments For Data Science and Software Development

    Dariusz Ratman

    Roche

  • 12:00pm

    Break

  • 12:20pm

    Improving Robustness of Evidence when Evaluating Causal Effects of Pharmaceutical Drugs in Healthcare Databases

    Richard Wyss

    Harvard Medical School

  • 12:40pm

    r2rtf - a Lightweight R Package to Produce Tables and Figures in RTF Format

    Yilong Zhang

    Merck

  • 12:50pm

    Benchmarking Algorithms for Subgroup Detection

    Sophie Sun

    Novartis

  • 1:00pm

    The “See”-Value App: Visual Decision Making for Drug Development

    Hannah Diehl

    MIT

  • 1:10pm

    Break

  • 1:20pm

    It’s a trap! A Data Science Case Story

    Leon Eyrich Jessen

    Technical University of Denmark

  • 1:40pm

    X-Omics Platform

    Stefan Pinkert

    Merck

  • 1:50pm

    RStudio’s Pharma Updates

    Sean Lopp

    RStudio

  • 2:00pm

    Closing Remarks

    Joe Rickert

    R Consortium