| |
|
|
| |
EVENT DETAILS |
WHERE R ENTHUSIASTS AND DATA SCIENTISTS GATHER TO EXPLORE, SHARE, AND INSPIRE IDEAS.
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
|
|
|
|
|
|
