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rstudio::conf(2022)

Richard S Hanna

Children's Hospital of Philadelphia
Data Scientist

Contact Me

As a Data Scientist at Children’s Hospital of Philadelphia, I develop data-driven solutions and design operational software to support clinical needs. The contextual scope of my work has ranged from pediatric cardiac arrest to airway management and, most recently, to cell and gene therapy and stem cell transplantation. I strive to live every day with the ambition and excitement that what I know today is nothing compared to what I will learn tomorrow.

My Friends

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

R Package Assessment: Lessons from Pharma 3. Cherry Blossom censored - Survival Analysis in tidymodels 2. Potomac D

11:20am EDT

tidyclust - expanding tidymodels to clustering 2. Potomac D

11:40am EDT

Demystifying MLOps 2. Potomac D

1:30pm EDT

How Anchorage Built Alaska’s Vaccine Finder with R 3. Cherry Blossom Remote Content Execution with RStudio Connect and Kubernetes 2. Potomac D

1:50pm EDT

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

2:10pm EDT

R Shiny - From Conception to the Cloud 2. Potomac D

2:30pm EDT

R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring 4. National Harbor 10+11 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

Introducing workboots: Generate prediction intervals from tidymodel workflows 2. Potomac D

4:00pm EDT

The tidysynthesis R package 2. Potomac D

4:30pm EDT

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

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

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

10:40am EDT

It's about time 2. Potomac D

10:45am EDT

Let your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsive 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

11:15am EDT

Say Hello! to Multilingual Shiny Apps 2. Potomac D

11:20am EDT

Let's start at the beginning - bits to character encoding in R 2. Potomac D

11:25am EDT

Implications of R syntax in intro stats 2. Potomac D

11:30am EDT

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

11:35am EDT

Visualizing distributions and uncertainty using ggdist 2. Potomac D

11:40am EDT

The Future of missing data 2. Potomac D

12:00pm EDT

Lunch 5. Maryland

1:30pm EDT

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

1:50pm EDT

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

2:10pm EDT

Creating a Design System for Shiny and RMarkdown 2. Potomac D

2:30pm EDT

Small Team Large Organization: Building Impactful Shiny Dashboards at NIH 4. National Harbor 10+11

3:20pm EDT

Introducing Rhino: Shiny application framework for enterprise 2. Potomac D

3:40pm EDT

A Robust Framework for Automated Shiny App Testing 2. Potomac D

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