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rstudio::conf(2022)

Ryan Johnson

RStudio
Customer Success Manager
Gaithersburg, MD

Customer Success Manager at RStudio PBC helping Life Sciences, Pharma, and Healthcare groups with their data science needs! Previous microbiologist at the National Institutes of Health.

My Friends

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

11:00am EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

3:30pm EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

11:00am EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

3:30pm EDT

What They Forgot to Teach You About R Chesapeake 4+5+6

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

R Package Assessment: Lessons from Pharma 3. Cherry Blossom

11:20am EDT

Dive Deep into Metadata with Tplyr 3. Cherry Blossom

11:40am EDT

Packages and Process 3. Cherry Blossom

12:00pm EDT

Lunch 5. Maryland Pharma / Life Sciences - Birds of a Feather Maryland 1, 2, & 3

1:30pm EDT

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

1:50pm EDT

Scaling and automating R workflows with Kubernetes and Airflow 3. Cherry Blossom

2:10pm EDT

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom

2:30pm EDT

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

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

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

10:50am EDT

Achieving a seamless workflow between R, Python and SAS from within RStudio 1. Potomac C

11:05am EDT

{shinyslack}: Connecting Slack Teams to Shiny Apps 2. Potomac D

12:00pm EDT

Lunch 5. Maryland

2:10pm EDT

You should be using renv 4. National Harbor 10+11

3:20pm EDT

Cracking open ggplot internals with {ggtrace} 4. National Harbor 10+11 Introducing Rhino: Shiny application framework for enterprise 2. Potomac D

3:40pm EDT

From summarizing projects to setting tags, uses of parsing R files 4. National Harbor 10+11

4:00pm EDT

An introduction to R7 4. National Harbor 10+11

4:30pm EDT

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