April 20, 2018

8:00am - 8:50am

Breakfast & Open Registration

8:50am - 9:00am

Opening Remarks

9:00am - 9:20am

Accelerating Cancer Research with R
Sandy Griffith, Flatiron Health

9:25am - 9:45am

Skin First, Makeup Second: A Metaphor for Data Science
Eurry Kim, Glossier

9:50am - 10:10am

R for Big Data in the Cloud
Marck Vaisman, Microsoft

10:10am - 10:40am

Break & Networking

10:40am - 11:00am

The Lesser Known Stars of the Tidyverse
Emily Robinson, DataCamp

11:05am - 11:25am

Deep Learning vs Machine Learning in R
Jared P. Lander, Lander Analytics

11:30am - 11:50am

Doing Data Science
Dan Chen, Virginia Tech

11:50am - 1:00pm

Lunch & Networking

1:00pm - 1:20pm

Forecasting at Scale: How and Why We Developed Prophet for Forecasting at Facebook
Sean Taylor, Facebook

1:25pm - 1:45pm

The Modern R Data Package
Noam Ross, ROpenSci & EcoHealth Alliance

1:50pm - 2:10pm

Open Source Sampling: Building and Remixing Packages in R
Brooke Watson, EcoHealth Alliance

2:10pm - 2:40pm

Break & Networking

2:40pm - 3:00pm

Dusty Turner, United States Military Academy

3:05pm - 3:25pm

Applying Deep Learning to Satellite Images to Estimate Violence in Syria and Poverty in Mexico
Jonathan Hersh, Chapman University

3:30pm - 3:50pm

Apache Arrow: A Cross-Language Development Platform for In-Memory Analytics
Wes McKinney, Two Sigma

3:50pm - 4:20pm

Break & Networking

4:20pm - 4:40pm

R in Minecraft
David Smith, Microsoft

4:45pm - 5:05pm

May the R be with You: Exploring the Star Wars Universe
Evelina Gabasova, Alan Turing Institute

5:05pm - 5:15pm

Closing Remarks

April 21, 2018

9:00am - 9:50am

Breakfast & Open Registration

9:50am - 10:00am

Opening Remarks

10:00am - 10:20am

Patterns and Drivers of Ice Shelf Melt
Alex Boghosian, Columbia

10:25am - 11:05am

Cracking into the Meat of R with lobstr: Console Visualisations that Explain How Stuff Works
Hadley Wickham, RStudio

11:05am - 11:35am

Break & Networking

11:35am - 11:55am

Introduction to scikit-learn
Andreas Mueller, Columbia

12:00pm - 12:20pm

How Long Will I Live? The Statistics Behind Prognosis in Cancer Research
Emily Zabor, Memorial Sloan Kettering

12:25pm - 12:45pm

Automated Versus Do-it-Yourself Methods for Causal Inference: Lessons Learned From a Data Analysis Competition
Jennifer Hill, New York University

12:45pm - 1:55pm

Lunch & Networking

1:55pm - 2:15pm

Teach the Tidyverse to Beginners
David Robinson, DataCamp

2:20pm - 2:40pm

Open Source Success: A Decade of R in Finance
Jeff Ryan, Citadel

2:45pm - 3:05pm

Investigating User Experience with Natural Language Analysis
Stephanie Kim, Algorithmia

3:05pm - 3:35pm

Break & Networking

3:35pm - 3:55pm

Phrasing: Communicating Data Science Through Tweets, Gifs, and Classic Misdirection
Mara Averick, RStudio

4:00pm - 4:20pm

Comparing Posteriors: Estimating Practical Differences Between Models
Max Kuhn, RStudio

4:25pm - 4:45pm

The What-Where-How-Why of GPU computing with R
Kelly O’Briant, MapD

4:45pm - 4:55pm

Closing Remarks