schedule

R/Pharma 2019

All times below in US ET

  • 8:40 AM -
    12:30 PM

    Shiny Reproducibility

    Joe Cheng

    Rstudio

  • 8:40 AM -
    12:30 PM

    R Validation Hub (past, current and future state)

    Andy Nicholls

    Glaxosmithkline

  • 8:40 AM -
    12:30 PM

    Artificial neural networks in R with Keras and TensorFlow

    Leon Eyrich Jessen

    Technical University of Denmark

  • 1:30 PM -
    5:20 PM

    Machine learning

    Max Kuhn

    Rstudio

  • 1:30 PM -
    5:20 PM

    plotly

    Carson Sievert

    Rstudio

  • 1:30 PM -
    5:20 PM

    Machine learning workflow management with drake

    Will Landau

    Eli Lilly

  • 8:15 AM

    Coffee Session

    Package Management

    Devin Pastoor

    Metrum Research Group

  • 8:15 AM

    Coffee Session

    R Education in Pharma

    Paulo Bargo and Satish Murthy

    Janssen

  • 8:15 AM

    Coffee Session

    R and Python Interoperability

    Sean Lopp

    RStudio

  • 8:45 AM

    Break

  • 9:00 AM

    Opening Remarks

    Merce Crosas

    Harvard University

  • 9:15 AM

    Keynote

    Reproducibility and the role of code in reproducible data science

    Garrett Grolemund

    RStudio

  • 10:00 AM

    Using R for Generic Drug Evaluation and SABE R-package for Assessing Bioequivalence of Topical Dermatological Products

    Elena Rantou

    FDA

  • 10:20 AM

    How to win friends and influence people: Efficiency, Reproducibility, and Scalability with R Project templates and parameterized R Markdown

    Leigh Alexander

    SomaLogic

  • 10:30 AM

    Teaching an old dog new tricks: modernizing gsDesign

    Keaven Anderson

    Merck

  • 10:50 AM

    Break

  • 11:10 AM

    nlmixr: an R package for population PKPD modeling

    Mirjam Trame

    Novartis

  • 11:30 AM

    Creating and reviving Shiny apps with {golem}

    Eric Nantz

    Eli Lilly

  • 11:40 AM

    Exploratory Graphics (xGx): Promoting the purposeful exploration of PKPD data

    Alison Margolskee

    Novartis

  • 12:00 PM

    Interactive Visualization of Standardized CDISC-SEND-Formatted Toxicology Study Data Using R Shiny

    Kevin Snyder

    FDA

  • 12:10 PM

    Using RStudio.Cloud to advance R proficiency: a crowdsourcing training experience

    Paulo Bargo

    Janssen

  • 12:30 PM

    Lunch

  • 1:30 PM

    Updates on Analyzing Clinical Trials Data with R

    Adrian Waddell

    Roche / Genentech

  • 1:50 PM

    R Packages for Analyzing Clinical Trials Data with R Focusing on Safety And Early Efficacy

    Nina Qi

    Roche / Genentech

  • 2:00 PM

    Package management

    Devin Pastoor

    Metrum Research Group

  • 2:20 PM

    Shinytized R Markdown: A Potent OTC Alternative to 1,3,7-Trimethylxanthine & Currently Indicated for NDA Document Generation, Among Others

    Mark Rothe

    Sanofi

  • 2:30 PM

    Collaborating at scale: managing an enterprise analytical computing ecosystem

    Rena Yang

    Roche / Genentech

  • 2:50 PM

    Embrace R in Pharma - building internal R community and establishing fit-for-purpose R pilots

    Ning Leng

    Roche / Genentech

  • 3:00 PM

    Re-envisioning Clinical Content Delivery in the Open Source World

    Doug Kelkhoff

    Roche / Genentech

  • 3:20 PM

    The use of R for improved reproducibility of biomarker detection in liquid biopsies

    Vivian Zhuang

    FDA

  • 3:30 PM

    Break

  • 3:50 PM

    Keynote

    Breaking the Speed Limit: How R Gets Faster

    Marianna Foos

    bluebird bio

  • 4:35 PM

    Leveraging multiple R tools to make effective pediatric dosing decisions

    Jeannine Fisher

    Metrum Research Group

  • 4:45 PM

    Using Machine Learning and Interactive Graphics to Find New Cancer Targets

    David Cooper

    GSK

  • 5:05 PM

    Machine learning workflow management with drake

    Will Landau

    Eli Lilly

  • 5:15 PM

    An R package for Data Science and Deep Visualization of a complex clinical database

    David James

    Novartis

  • 8:15 AM

    Coffee Session

    Shiny for Early Drug Discovery Research

    Gordon Turner

    Novartis

  • 8:15 AM

    Coffee Session

    Shiny in Production

    Kelly O’Briant

    RStudio

  • 8:15 AM

    Coffee Session

    SAS & R

    Bella Feng and Nate Mockler

    Amgen and Biogen

  • 8:45 AM

    Break

  • 9:00 AM

    Opening Remarks

    Xiao-Li Meng

    Harvard University

  • 9:00 AM

    Keynote

    Multi-modal data integration

    Aedin Culhane

    Dana-Farber

  • 9:15 AM

    Your Missing Step in Reproducible R Programming: Continuous Deployment

    Chase Clark

    University of Illinois at Chicago

  • 10:00 AM

    From playing in the backyard to designing one: Shiny transforms study designs, data analyses and statistical thinking of oncology in vivo group at Janssen

    Volha Tryputsen

    Janssen

  • 10:20 AM

    ModViz POP: R-Shiny Based PK/PD Interface for Empowering Teams to Perform Real-Time Simulations

    Pavan Vaddady

    Merck

  • 10:30 AM

    Break

  • 10:50 AM

    Building Open Source Tools for Safety Monitoring: Advancing Research Through Community Collaboration

    Becca Krouse

    Rho

  • 11:10 AM

    It’s Not What’s on the Outside, but It’s What’s on the Back-end That Matters: The World Beyond CSV Files

    Marcus Adams

    Merck

  • 11:30 AM

    Improve installation sequences for R package cohorts

    Juliane Manitz

    EDM Serono

  • 11:40 AM

    Evaluating the performance of advanced causal inference methods applied to healthcare claims data

    Jessica Myers Franklin

    Harvard University

  • 12:00 PM

    Tidysq for Working with Biological Sequence Data in ML Driven Epitope Prediction in Cancer Immunotherapy

    Leon Eyrich Jessen

    Technical University of Denmark

  • 12:10 PM

    Lunch

  • 12:30 PM

    This one is not like the others: Applicability Domain methods in R

    Max Kuhn

    RStudio

  • 1:30 PM

    Accelerating Chemistry Research through the Integration of Data Science with High-Throughput Experimentation

    Jason Stevens

    BMS

  • 1:50 PM

    Reproducible shiny apps with shinymeta

    Carson Sievert

    RStudio

  • 2:00 PM

    Shiny apps for accelerating early drug discovery research

    Gordon Turner

    Novartis

  • 2:20 PM

    Break

  • 2:30 PM

    Using R to foster the communication with non-statisticians on Bayesian dose escalation models

    Marianna Grinberg

    Merck

  • 2:40 PM

    Prediction of maternal-fetal exposures of CYP450-metabolized drugs using physiologic pharmacokinetic modeling implemented in R and mrgsolve.

    Madeleine S. Gastonguay

    Metrum Research Group

  • 3:00 PM

    Making Better Decisions

    Andy Nicholls

    Glaxosmithkline

  • 3:10 PM

    From CDISC to TLFs, using R to support Pharmacokinetic Analyses

    Jessica Higgins

    Nuventra Pharma Sciences

  • 3:30 PM

    Break

  • 3:40 PM

    Keynote

    Simulations, and Complex Innovative Trial Designs

    Paul Schuette

    FDA

  • 4:00 PM

    Validation Framework for Assay Processing Pipelines

    Ellis Hughes

    Fred Hutch

  • 4:45 PM

    Shiny in Production: Building bridges from data science to IT

    Kelly O’Briant

    RStudio

  • 4:55 PM

    Identifying progression-free survival in Veterans with Diffuse Large B-Cell Lymphoma using electronic healthcare records

    Debbie Morreall

    University of Utah

  • 5:15 PM

    Democratizing Natural Language Processing with I2E and R Shiny

    Abhik Seal

    Abbvie