Wednesday, January 29

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

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

Thursday, January 30

All times are listed in Pacific Standard Time (PST)

Keynote 3
9:00a - 10:00a

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Jenny Bryan, RStudio

Session 4: Visualization
10:30a - 12:00p

The Glamour of Graphics
William Chase, University of Pennsylvania 3D ggplots with rayshader
Dr. Tyler Morgan-Wall, Institute for Defense Analyses Designing Effective Visualizations
Miriah Meyer, University of Utah Tidyverse 2019-2020
Hadley Wickham, RStudio

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

Roger Peng, Johns Hopkins Bloomberg School of Public Health & Hilary Parker, Stitch Fix