2019 Schedule

Coffee Session

Package Management

Devin Pastoor

Metrum Research Group

Coffee Session

R Education in Pharma

Paulo Bargo and Satish Murthy

Janssen

Coffee Session

R and Python Interoperability

Sean Lopp

RStudio

Break

Opening Remarks

Merce Crosas

Harvard University

Keynote

Reproducibility and the role of code in reproducible data science

Garrett Grolemund

RStudio

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

Elena Rantou

FDA

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

Leigh Alexander

SomaLogic

Teaching an old dog new tricks: modernizing gsDesign

Keaven Anderson

Merck

Break

nlmixr: an R package for population PKPD modeling

Mirjam Trame

Novartis

Creating and reviving Shiny apps with {golem}

Eric Nantz

Eli Lilly

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

Alison Margolskee

Novartis

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

Kevin Snyder

FDA

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

Paulo Bargo

Janssen

Lunch

Updates on Analyzing Clinical Trials Data with R

Adrian Waddell

Roche / Genentech

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

Nina Qi

Roche / Genentech

Package management

Devin Pastoor

Metrum Research Group

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

Mark Rothe

Sanofi

Collaborating at scale: managing an enterprise analytical computing ecosystem

Rena Yang

Roche / Genentech

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

Ning Leng

Roche / Genentech

Re-envisioning Clinical Content Delivery in the Open Source World

Doug Kelkhoff

Roche / Genentech

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

Vivian Zhuang

FDA

Break

Keynote

Breaking the Speed Limit: How R Gets Faster

Marianna Foos

bluebird bio

Leveraging multiple R tools to make effective pediatric dosing decisions

Jeannine Fisher

Metrum Research Group

Using Machine Learning and Interactive Graphics to Find New Cancer Targets

David Cooper

GSK

Machine learning workflow management with drake

Will Landau

Eli Lilly

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

David James

Novartis

Coffee Session

Shiny for Early Drug Discovery Research

Gordon Turner

Novartis

Coffee Session

Shiny in Production

Kelly O’Briant

RStudio

Coffee Session

SAS & R

Bella Feng and Nate Mockler

Amgen and Biogen

Break

Opening Remarks

Xiao-Li Meng

Harvard University

Keynote

Multi-modal data integration

Aedin Culhane

Dana-Farber

Your Missing Step in Reproducible R Programming: Continuous Deployment

Chase Clark

University of Illinois at Chicago

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

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

Pavan Vaddady

Merck

Break

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

Becca Krouse

Rho

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

Improve installation sequences for R package cohorts

Juliane Manitz

EDM Serono

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

Jessica Myers Franklin

Harvard University

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

Leon Eyrich Jessen

Technical University of Denmark

Lunch

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

Max Kuhn

RStudio

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

Jason Stevens

BMS

Reproducible shiny apps with shinymeta

Carson Sievert

RStudio

Shiny apps for accelerating early drug discovery research

Gordon Turner

Novartis

Break

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

Marianna Grinberg

Merck

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

Madeleine S. Gastonguay

Metrum Research Group

Making Better Decisions

Andy Nicholls

Glaxosmithkline

From CDISC to TLFs, using R to support Pharmacokinetic Analyses

Jessica Higgins

Nuventra Pharma Sciences

Break

Keynote

Simulations, and Complex Innovative Trial Designs

Paul Schuette

FDA

Validation Framework for Assay Processing Pipelines

Ellis Hughes

Fred Hutch

Shiny in Production: Building bridges from data science to IT

Kelly O’Briant

RStudio

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

Debbie Morreall

University of Utah

Democratizing Natural Language Processing with I2E and R Shiny

Abhik Seal

Abbvie