This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

Ron Ammar

Bristol-Myers Squibb
Princeton, NJ

about.me/ronammar

Leveraging genomics technologies to develop novel therapies.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Campbell Rehearsal Hall

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato

2:30pm PDT

Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato

4:15pm PDT

What's up with the R consortium? 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

R in machine learning competitions McCaw Hall

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

Fry: A Fast Interactive Biological Pathway Miner Lane & Lyons & Lodato

11:42am PDT

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho SIEPR 120

2:12pm PDT

Wrap your model in an R package! SIEPR 120

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion Imputing Gene Expression to Maximise Platform Compatibility Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:39pm PDT

A Future for R Econ 140

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:18pm PDT

How to use the archivist package to boost reproducibility of your research Barnes & McDowell & Cranston Tools for Robust R Packages SIEPR 130

1:36pm PDT

Simulation and power analysis of generalized linear mixed models Econ 140

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Partition-Assisted Clustering: Application to High-Dimensional Multi-Sample Single-Cell Data Analysis Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion The markovchain R package Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:48am PDT

Authoring Books with R Markdown McCaw Hall

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Hash Tables in R are Slow SIEPR 130

3:00pm PDT

Closing Remarks McCaw Hall