2023 Conference

Version Control with Git & RStudio – Handy Tips for Use & How to Resolve Common Issues

Alexandra Lauer, Christina Fillmore, Irene Vassallo and Lyn Taylor, Merck KGaA, Darmstadt, Germany | GSK | Incyte | Parexel

Visual Studio Code for Pharma: An Introduction

Megan Chiang, Procogia

Introduction to Machine Learning with {tidymodels}

Nicola Rennie, Lancaster University

Quarto All the Things!

Devin Pastoor, Priyanka Gagneja and Mutaz Jaber, A2-AI | Procogia | Gilead

{targets} & {crew} for Clinical Trial Simulation Pipelines

Will Landau, Eli Lilly

A Case-Study Driven Motivation of Analysis Results Data

Joana Marques-Barros, Idorsia

From The Statistical Method To The R Package - The mmrm Example

Daniel Sabanés Bové and Doug Kelkhoff, Roche | Roche

An Intro to Unveiling OPS Cell Patterns with Python

Jose Sergio Hleap Lozano, Procogia

Pharmaverse Friday: Pharmaverse Champion. Intro to the Pharmaverse

Kangjie Zhang, Bayer

Pharmaverse Friday: Revolutionize Clinical Trial Data Exploration - teal

Dony Unardi, Roche / Genentech

Pharmaverse Friday: Generating TLGs using NEST / Falcon - a Masterclass

Davide Garolini, Roche / Genentech

Developing & Testing Your Shiny Application

Martin Frigaard, Atorus

Opening Remarks - Harvey Lieberman (R/Pharma, Novartis)

Our Impact in the Evolving Data Landscape

Dionne Price, FDA

Break

Clinical Tables with flextable, tables and rtables

David Gohel, arData

Improvements made to {gt} in 2023

Rich Iannone, Posit

EDC to Patient Profiles: A Biotech {ctpatprofile} Story

Preston Burns & Nathan Kosiba, Sarepta

Trends and Current Landscape of ML/AI Publications with Open Source Tools

Herb Pang, Roche / Genentech

Break

Interactive Reporting for Safety Monitoring

Ben Wang, Merck

Pharmacokinetic (PK) data programming in {admiral} and the Pharmaverse

Jeff Dickinson, Navitas Data Sciences

Rshiny app on Ph2b trial design based on MCP-Mod

Sophie Sun, Novartis

Exploring the Packaging of R / Shiny Applications for Regulatory Submission

André Veríssimo, Appsilon

Break

Introducing openstatsware and the R package {mmrm}

Ya Wang, Gilead

Everyones Invited: A Case Study on Bridging the Usability Gap

Becca Krouse, GSK

Panel Discussion - Novo Nordisk: Journey to an R-Based FDA Submission

Opening Remarks - Sophie Shapcott (Gem Programming)

The importance of the SCE in enabling our shift from proprietary programming to open-source data science

James Black, Roche / Genentech

Break

Accelerating Modeling and Simulation with Scientific Machine Learning in Julia

Viral Shah and Elisabeth Roesch, JuliaHub

Getting started with torch in R

Daniel Falbel, Posit

Serverless Shiny in Quarto Documents

Max Kuhn, Posit

Updates from the R Validation Hub: Towards a Pharma Repository

Juliane Manitz and Coline Zeballos, EMD Serono | Roche

Break

Clinical Trials Reporting Dashboard

Kaitlin Maciejewski and Jesse Reynolds, Yale Center for Analytical Sciences

The Need for Speed - AccelerateR-ing R Adoption in GSK

Ben Arancibia, GSK

Good Practices for Creating Reproducible Content From Shiny Apps

Mike Smith, Samir Parmar and Natalia Andriychuk, Pfizer

Break

Learnings from deploying a Python package to orchestrate clinical trials outputs generation

Daphné Grasselly, Roche / Genentech

DeProViR:a deep-learning framework based on pre-trained sequence embeddings for predicting host-viral protein-protein interactions

Matineh Rahmatbakhsh, Procogia

Enhancing Quality Risk Classification with Natural Language Processing

Hangyu Liu, Biogen

Panel Discussion - What Puts the Next-Gen in our Next-Generation SCEs?

Opening Remarks - Isabella Velasquez (Posit)

Why we Need to Improve Software Engineering in Biostatistics - A Call to Action

Daniel Sabanés Bové, Roche / Genentech

Break

Comparing Analysis Method Implementations in Software (CAMIS): An open source repository to document differences in statistical methodology across software

Christina Fillmore, GSK

Exploration of Large language model-based frameworks to develop R codes for output delivery in pharma

Bo Ci, Roche / Genentech

Dataset-JSON as Alternative Transport Format for Regulatory Submissions

Jesse Anderson, FDA

A Pivotal Year of R Pilots for Shiny Application Submissions to the FDA / Celebrating a Milestone: R Tables for Regulatory Submission Working Group s eBook on Clinical Data Table Generation

Eric Nantz, Alexandra Lauer and Rich Iannone, Eli Lilly | Merck KGaA, Darmstadt, Germany | Posit

Break

Reality Check for R Adoption - A Mid-Size Pharma View

Alexandra Lauer, Merck KGaA, Darmstadt, Germany

Using Stan for Synthetic Data Generation and C-QTc Analysis

Kiran Gauthier, BMS

Introducing smdi: An R package to perform structural missing data investigations for real-world evidence studies

Janick Weberpals, Harvard Medical School

Break

Enhance Your Everyday Work with LLMs in RStudio

Edgar Ruiz, Posit

Validating In-House Developed R Packages with mpn.scorecard

Seth Green, Metrum Research Group

Designing a CSR with Shiny

Matthew Brierley and Chris Ridley, Idorsia

Panel Discussion - Thriving as a Data Scientist: Her Perspective

Closing Comments - Ellis Hughes (R/Pharma / GSK)

Preview of Posit Administrator Training

Shannon Hagerty, Posit

Advanced Exploratory Visualization Techniques - ggplot2, plotly & purrr

Omar ElAshkar, University of Florida