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rstudio::conf(2022)

Nick Strayer

RStudio
Software Engineer
Ann Arbor, MI

https://nickstrayer.me

Contact Me

Nick is an engineer on the Shiny team working to make web applications with R easy to build, beautiful, and powerful. Nick has a Ph.D. in Biostatistics from Vanderbilt University and previously worked as a data journalist at the New York Times.

My Friends

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

11:00am EDT

Building Production-Quality Shiny Applications National Harbor 2

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

3:30pm EDT

Building Production-Quality Shiny Applications National Harbor 2

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Good practices for applied machine learning - from model development to model deployment 0. Potomac A+B

11:00am EDT

censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

tidyclust - expanding tidymodels to clustering 2. Potomac D

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

How Anchorage Built Alaska’s Vaccine Finder with R 3. Cherry Blossom

2:30pm EDT

Optimal allocation of COVID-19 vaccines in west Africa - A Shiny success story 3. Cherry Blossom

3:20pm EDT

Quarto for the Curious 1. Potomac C

4:30pm EDT

The Past and Future of Shiny 0. Potomac A+B

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Hello Quarto: Share • Collaborate • Teach • Reimagine 0. Potomac A+B

10:35am EDT

WebR: R compiled for WebAssembly and running in the browser 2. Potomac D

10:50am EDT

The worlds smallest R environment? Running R on a $15 computer 4. National Harbor 10+11

11:30am EDT

Running Shiny without a server 1. Potomac C

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

A new way to build your Shiny app's UI 2. Potomac D

3:20pm EDT

Cracking open ggplot internals with {ggtrace} 4. National Harbor 10+11

4:00pm EDT

An introduction to R7 4. National Harbor 10+11 {shinytest2}: Regression testing for Shiny applications 2. Potomac D

4:30pm EDT

Data science training in communities with limited technology resources and opportunities 0. Potomac A+B