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John Tamaresis

Biomedical Data Science, Stanford University
Biostatistician
Stanford, California, USA

https://profiles.stanford.edu/john-tamaresis

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 1) McDowell & Cranston

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

MoRe than woRds, Text and Context: Language Analytics in Finance with R (Part 2) McDowell & Cranston

12:00pm PDT

Lunch McDowell & Cranston

1:00pm PDT

Missing Value Imputation with R (Part 1) Barnes

2:15pm PDT

Coffee Break Lyons & Lodato

2:30pm PDT

Missing Value Imputation with R (Part 2) Barnes

4:00pm PDT

Short Break 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

Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud Lane & Lyons & Lodato

10:48am PDT

Two-sample testing in high dimensions Lane & Lyons & Lodato

11:06am PDT

R/qtl: Just Barely Sustainable Lane & Lyons & Lodato

11:24am PDT

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

11:42am PDT

Analysis of big biological sequence datasets using the DECIPHER package Lane & Lyons & Lodato

1:36pm PDT

CVXR: An R Package for Modeling Convex Optimization Problems 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

Profvis: Profiling tools for faster R code Econ 140

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO Econ 140

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:42am PDT

Interactive Terabytes with pbdR Econ 140

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:26am PDT

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

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

My Moderators Sessions

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:26am PDT

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