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Edwin Thoen

Rabobank
Data Scientist
Utrecht, Netherlands

I work at the Advanced Data Analytics department of a large bank that supports all departments of the bank with projects that makes the organisation more data-driven. I am especially interested in rare-event prediction, Bayesian analysis, deep learning and a deeper understanding of the workings of R.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:21pm PDT

Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

Rho: High Performance R McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:18pm PDT

Tools for Robust R Packages SIEPR 130

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall

1:54pm PDT

How to do one's taxes with R McCaw Hall

2:12pm PDT

High performance climate downscaling in R SIEPR 120

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:48am PDT

Practical tools for exploratory web graphics SIEPR 130

11:24am PDT

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:35pm PDT

Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall