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rstudio::conf(2022)

Michael Zenz

UW Madison
Policy and Planning Analyst
Madison, WI

I am currently a Policy and Planning Analyst in the College of Letters and Science (AIM office) at the University of Wisconsin -- Madison. I work primarily in administrative matters, including course enrollment patterns and projections, determinants of student success, and degree clearance. Previously I was a Post-doctoral Research Fellow in the Philosophy, Politics, Economics, and Law program at the University of Arizona.

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

12:30pm EDT

Lunch 5. Maryland

1:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

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

R, Python, and Tableau: A Love Triangle 1. Potomac C

11:40am EDT

Packages and Process 3. Cherry Blossom

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

Making Data Pipelines in R: A Story From A “Self-Taught” Perspective 4. National Harbor 10+11 Do It For Yourself: Creating a data input platform using R 1. Potomac C

1:50pm EDT

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

2:10pm EDT

Advocating for Automation: Adapting Current Tools in Environmental Science through R 1. Potomac C R Shiny - From Conception to the Cloud 2. Potomac D

2:30pm EDT

Saving 1,000 hours with RStudio: selling R in your workplace 1. Potomac C Robust R Deployments: Building a Pipeline from RStudio to Production 2. Potomac D

3:20pm EDT

Quarto for the Curious 1. Potomac C

3:40pm EDT

Sometimes you just need words 1. Potomac C

4:00pm EDT

dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11

4:30pm EDT

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

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

10:30am EDT

I made an entire e-commerce platform on Shiny 4. National Harbor 10+11 Exploratory Spatial Data Analysis in the tidyverse 2. Potomac D

10:40am EDT

It's about time 2. Potomac D

10:50am EDT

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

10:55am EDT

Zero-setup R workshops with GitHub Codespaces 2. Potomac D

11:00am EDT

Making awesome automations with GitHub Actions 2. Potomac D

11:05am EDT

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

11:10am EDT

Enterprise-Level Data Science Success 3. Cherry Blossom

11:25am EDT

Implications of R syntax in intro stats 2. Potomac D

11:30am EDT

Running Shiny without a server 1. Potomac C

11:35am EDT

Visualizing distributions and uncertainty using ggdist 2. Potomac D

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

Cultivating Your Own R Ecosystem as a Solo Contributor 4. National Harbor 10+11

1:50pm EDT

Demystifying the art of creating custom libraries for your organization 4. National Harbor 10+11

2:10pm EDT

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

2:30pm EDT

Dashboard-Builder: Building Shiny Apps without writing any code 2. Potomac D

3:20pm EDT

These are a few of my favorite things (about Quarto presentations) 1. Potomac C

3:40pm EDT

Literate Programming With Jupyter Notebooks and Quarto 1. Potomac C

4:00pm EDT

Websites & Books & Blogs, oh my! Creating Rich Content with Quarto 1. Potomac C

4:30pm EDT

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