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rstudio::conf(2022)

Ryan Rozario

SCIEX
Senior Data Scientist
Toronto, Ontario

Contact Me

My name is Ryan, I work for a data scientist for a biotech. manufacturer of analytical instrumentation used in high throughput research. Admiring of the great work the RStudio team does, I'd be delighted to 'talk shop' about the latest and greatest with Tidymodels, Quarto, or any number of other interesting subjects I hope to learn more about in D.C.

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

11:00am 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

3:30pm EDT

Machine Learning with tidymodels 4. National Harbor 10+11

5:30pm EDT

Book Signing Reception 3. Cherry Blossom

7:30am EDT

Breakfast 5. Maryland

9:00am EDT

Machine Learning with tidymodels 4. National Harbor 10+11

11:00am 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

3:30pm 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

Translating from {tidymodels} and scikit-learn: Lessons from a 'bilingual' course. 4. National Harbor 10+11

11:20am EDT

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Demystifying MLOps 2. Potomac D

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 Remote Content Execution with RStudio Connect and Kubernetes 2. Potomac D

2:10pm EDT

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom R Shiny - From Conception to the Cloud 2. Potomac D

3:20pm EDT

Quarto for the Curious 1. Potomac C

3:40pm EDT

dm: Analyze, build and deploy relational data models 4. National Harbor 10+11 Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

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

5:30pm EDT

Birds of a Feather Happy Hour - Industry Groups Chesapeake

6:00pm EDT

Evening Dinner & Activities 7. Orchard Terrace

7:30am EDT

Breakfast 5. Maryland Birds of a Feather Breakfast - Variegated Groups 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

10:35am EDT

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

10:45am EDT

Let your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsive 2. Potomac D

11:05am EDT

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

11:15am EDT

Say Hello! to Multilingual Shiny Apps 2. Potomac D

11:30am EDT

Cross-Industry Anomaly Detection Solutions with R and Shiny 3. Cherry Blossom

12:00pm EDT

Birds of a Feather Lunch - Variegated Groups 5. Maryland

3:20pm EDT

These are a few of my favorite things (about Quarto presentations) 1. Potomac C Introducing Rhino: Shiny application framework for enterprise 2. Potomac D

3:40pm EDT

Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R 3. Cherry Blossom

4:00pm EDT

{shinytest2}: Regression testing for Shiny applications 2. Potomac D