All times are listed in Pacific Standard Time (PST)
Keynote 1
9:00a - 10:00a
Welcome to rstudio::conf 2020
Hadley Wickham, RStudio
Open Source Software for Data Science J.J. Allaire, RStudio
Keynote 2
10:00a - 11:00a
Data, visualization, and designing with AI
Fernanda Viegas & Martin Wattenberg, Google
Session 1: Production
11:30a - 1:00p
Deploying End-To-End Data Science with Shiny, Plumber, and Pins Alex Gold, RStudio
We’re hitting R a million times a day so we made a talk about it
Heather Nolis, T-Mobile & Dr. Jacqueline Nolis, Nolis, LLC
Growth Hacking with R - Product Analytics at Scale using R and RStudio
Andrew Mangano, Salesforce
Practical Plumber Patterns
James Blair, RStudio
Session 2: Shiny
2:15p - 3:45p
Production-grade Shiny Apps with golem
Colin Fay, ThinkR
Making the Shiny Contest
Mine Çetinkaya-Rundel, RStudio
Styling Shiny apps with Sass and Bootstrap 4
Joe Cheng, RStudio
Reproducible Shiny apps with shinymeta
Dr. Carson Sievert, RStudio
Session 3: Learning and Using R
4:00p - 5:30p
Flipbooks
Evangeline Reynolds, University of Denver
Learning R with humorous side projects
Ryan Timpe, The LEGO Group
Toward a grammar of psychological experiments
Danielle Navarro, University of New South Wales
R for Graphical Clinical Trial Reporting
Frank Harrell, Vanderbilt University
Session 1: Education
11:30a - 1:00p
Meet You Where You R
Lauren Chadwick, RStudio
Data Science Education in 2022
Carl Howe & Greg Wilson, RStudio
Data science education as an economic and public health intervention in East Baltimore
Jeff Leek, Johns Hopkins Bloomberg School of Health
Of Teacups, Giraffes, & R Markdown
Desiree De Leon, Emory University
Session 2: Community
2:15p - 3:45p
If you build it, they will come...but then what? Facilitating communities of practice in R
Dr. Kate Hertweck, Fred Hutchinson Cancer Research Center
Embracing R in the Geospatial Community
Tina Cormier, Indigo
The development of "datos" package for the R4DS Spanish translation
Riva Quiroga, The Programming Historian
R: Then and Now
Jared Lander, Lander Analytics
Session 3: Programming
4:00p - 5:30p
Getting things logged
Gergely Daroczi, System1
Technical debt is a social problem
Mr. Gordon Shotwell, Socure
Parallel computing with R using foreach, future, and other packages
Bryan Lewis
Future: Simple Async, Parallel & Distributed Processing in R - What's Next?
Henrik Bengtsson, University of California, San Francisco
Session 1: Case Study
11:30a - 1:00p
Professional Case Studies
Katie Masiello, RStudio
How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R
Sean Murphy, Vibrant
Building a new data science pipeline for the FT with RStudio Connect
George Kastrinakis, Financial Times
How to win an AI Hackathon, without using AI
Colin Gillespie, Jumping Rivers
Session 2: Interface
2:15p - 3:45p
Accelerating Analytics with Apache Arrow
Neal Richardson, Ursa Labs / RStudio
Updates on Spark, MLflow, and the broader ML ecosystem
Javier Luraschi, RStudio
What's new in TensorFlow for R
Daniel Falbel, RStudio
Deep Learning with R
Paige Bailey, Google
Session 3: Case Study
4:00p - 5:30p
Journalism with RStudio, R, and the tidyverse
Larry Fenn, Associated Press
Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data
Dani Chu, NHL Seattle
R + Tidyverse in Sports
Namita Nandakumar, Philadelphia Eagles
Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar pac
Dr. Nicholas Tierney, Monash University
Session 1: Programming
11:30a - 1:00p
Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach
Jacqueline Gutman, Flatiron Health
vctrs: Creating custom vector classes with the vctrs package
Jesse Sadler, Loyola Marymount University
Asynchronous programming in R
Winston Chang, RStudio
Azure Pipelines and GitHub Actions
Jim Hester, RStudio
Session 2: Finance
2:15p - 3:45p
15 Years of R in Quantitative Finance
Brandon Farr, Copper Rock Capital Partners
Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents
Moody Hadi, S&P Global - Market Intelligence
Rpanda trading simulation - from an idea to a multi-user shiny app
Nima Safaian, rpanda
The good, the bad and the ugly: What I learned while consulting across the business as a data scientist
Ben Barnard, Wells Fargo
Session 3: Pharma
4:00p - 5:30p
Approaches to Assay Processing Package Validation
Ellis Hughes, Fred Hutch Cancer Research Center
Building a native iPad dashboard using plumber and RStudio Connect in Pharma
Aymen Waqar, Astellas Pharma US
FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the tidyverse
Nathaniel Phillips, Roche
Using R to Create Reproducible Engineering Test Reports
Ana Alyeska Santos, Biosense Webster, Inc.
All times are listed in Pacific Standard Time (PST)
Keynote 3
9:00a - 10:00a
Object of type ‘closure’ is not subsettable
Jenny Bryan, RStudio
Session 4: Visualization
10:30a - 12:00p
Session 5: Modeling
1:00p - 2:30p
MLOps for R with Azure Machine Learning
David Smith, Microsoft
Totally Tidy Tuning Techniques
Max Kuhn, RStudio
Neural Networks for Longitudinal Data Analysis
Dr. Sydeaka Watson, Korelasi Data Insights; Elicit Insights
Stochastic Block Models with R: Statistically rigerous clusting with rigorous code
Nick Strayer, Vanderbilt University
Session 6: Panel
2:45a - 3:30p
Career Advice for Data Scientists
Jen Hecht, RStudio
Sydeaka Watson, Elicit
Gabriela de Queiroz, AI Inclusive and R-Ladies
David Keyes, R for the Rest of Us
Keynote 4
4:00p - 5:00p
NSSD Episode 100
Roger Peng, Johns Hopkins Bloomberg School of Public Health & Hilary Parker, Stitch Fix
Session 4: Communication
10:30a - 12:00p
Branding and Packaging Reports with R Markdown
Dr. Jake Thompson, Accessible Teaching, Learning, and Assessment Systems
Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe.
Sharla Gelfand, R and Shiny Developer
How Rmarkdown changed my life
Rob Hyndman, Monash University
One R Markdown Document, Fourteen Demos
Yihui Xie, RStudio
Session 5: ggplot2
1:00p - 2:30p
Best practices for programming with ggplot2
Dewey Dunnington, Dalhousie University
Spruce up your ggplot2 visualizations with formatted text
Claus Wilke, University of Texas at Austin
The little package that could: taking visualizations to the next level with the scales package
Dana Seidel, Plenty Unlimited
Extending your ability to extend ggplot2
Thomas Lin Pedersen, RStudio
Session 6: Lighning Talks
2:45a - 3:30p
Colin Rundel, University of Edinburgh
Jay Campanell, Liberal Arts and Sciences Academy
Kelly Bodwin, Cal Poly, San Luis Obispo
Mx. Yim Register, RStudio & University of Washington
Mike K Smith, Pfizer
Jon Harmon, Macmillan Learning
Therese Anders, Hertie School
Hunter Glanz, California Polytechnic State University
Maya Gans, RStudio
Session 4: Workflow
10:30a - 12:00p
RMarkdown Driven Development
Emily Riederer, Capital One
renv: Project Environments to R
Kevin Ushey, RStudio
RStudio 1.3 Sneak Preview
Jonathan McPherson, RStudio
Using Jupyter with RStudio Server Pro
Karl Feinauer, RStudio
Session 5: Organizational Thinking
1:00p - 2:30p
Small Team, Big Value: Using R to Design Visualizations
Ian Lyttle, Schneider Electric
UnicoRns are real
Dr. Travis Gerke, Moffitt Cancer Center
Data Science in Meatspace
BenJoaquin Gouverneur, Plenty Unlimited, Inc.
Value in Data Science Beyond Models in Production
Eduardo Ariño de la Rubia
Session 6: Lighning Talks
2:45a - 3:30p
Dr. Amelia McNamara, University of St Thomas
Javier Luraschi, RStudio
Rebecca Barter, UC Berkeley
MA Maria Ortiz Mancera, CONABIO
Caroline Ledbetter, University of Colorado
Athos Damiani, R6
Katherine Simeon, Northwestern University
Amanda Gadrow, RStudio
Session 4: Medicine
10:30a - 12:00p
Building a Medical Device with R
Ron Keizer, InsightRX
Development of a web-based clinical decision support application for platelet transfusion management
Justin Juskewitch, Mayo Clinic
Forecasting Platelet Blood Bag Demand to Reduce Inventory Wastage at the Stanford Blood Center
Qian Zhao, Stanford University
Shiny New Things: Using R to Bridge the Gap in EMR Reporting
Mr. Brendan Graham, Children's Hospital of Philadelphia
Session 5: Programming
1:00p - 2:30p
Auto-magic package development: Building an R API for building Vega-Lite Specs
Alicia Schep, Outlier AI
Bridging the gap between SQL and R: Introducing queryparser and tidyquery
Ian Cook, Cloudera
List-columns in data.table: Reducing the cognitive and computational burden when working with comple
Tyson Barrett, Utah State University
Advances in tidyeval
Lionel Henry, RStudio
