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With Emily Robinson (Data Scientist, Etsy), Hadley Wickham (Chief Scientist, RStudio), David Robinson (Chief Data Scientist, DataCamp), Marck Vaisman (Data & AI, Microsoft), Andreas Mueller (Data Science Institute, Columbia), Emily Zabor (Research Biostatistician, Memorial Sloan Kettering), Sandy Griffith (Flatiron Health).
Friday, April 20, 2018 at 08:30 AM   $425
Work-Bench, 110 5th Ave, 5th Fl

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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

Title TBD
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, Etsy

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 & Why We Developed Prophet for Forecasting at Facebook
Sean Taylor, Facebook

1:25pm - 2:05pm

Integration of Graphics in Statistical Analysis
Andrew Gelman, Columbia

2:05pm - 2:35pm

Break & Networking

2:35pm - 2:55pm

Title TBD
Speaker TBD

3:00pm - 3:20pm

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

3:25pm - 3:45pm

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

3:45pm - 4:15pm

Break & Networking

4:15pm - 4:35pm

R in Minecraft
David Smith, Microsoft

4:40pm - 5:00pm

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

5:00pm - 5:10pm

Closing Remarks

9:00am - 9:50am

Breakfast & Open Registration

9:50am - 10:00am

Opening Remarks

10:00am - 10:20am

Patterns & Drivers of Ice Shelf Melt
Alex Boghosian, Columbia

10:25am - 10:45am

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

10:50am - 11:10am

Introduction to scikit-learn
Andreas Mueller, Columbia

11:10am - 11:40am

Break & Networking

11:40am - 12:00pm

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

12:05pm - 12:25pm

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

12:25pm - 1:35pm

Lunch & Networking

1:35pm - 1:55pm

Teach the Tidyverse to Beginners
David Robinson, DataCamp

2:00pm - 2:40pm

Title TBD
Hadley Wickham, RStudio

2:45pm - 3:15pm

Break & Networking

3:15pm - 3:35pm

Investigating User Experience with Natural Language Analysis
Stephanie Kim, Algorithmia

3:40pm - 4:00pm

Making Causal Claims as a Data Scientist: Tips & Tricks Using R
Lucy D'Agostino McGowan, Vanderbilt

4:05pm - 4:25pm

Title TBD
Speaker TBD

4:25pm - 4:55pm

Break & Networking

4:55pm - 5:15pm

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

5:20pm - 5:40pm

Title TBD
Speaker TBD

5:40pm - 5:50pm

Closing Remarks
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