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Julianna Antonchuk

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Infra Data Science
San Francisco

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

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

9:00am PDT

Forty years of S 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

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140 United Nations World Population Projections with R McCaw Hall

11:42am PDT

Analysis of big biological sequence datasets using the DECIPHER package Lane & Lyons & Lodato bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Integrated R labs for high school students SIEPR 130

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston Introducing Statistics with intRo SIEPR 130

1:54pm PDT

Statistics and R in Forensic Genetics McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

A Future for R Econ 140

5:57pm PDT

Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130 Notebooks with R Markdown McCaw Hall Empowering Business Users with Shiny SIEPR 120

10:48am PDT

ETL for medium data SIEPR 130 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

11:05am PDT

Maximum Monte Carlo likelihood estimation of conditional auto-regression models SIEPR 120

11:06am PDT

Calculation and economic evaluation of acceptance sampling plans Barnes & McDowell & Cranston Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO Econ 140

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:20am PDT

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130 Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:25am PDT

FirebrowseR an 'API' Client for Broads 'Firehose' Pipeline SIEPR 120

11:30am PDT

Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers SIEPR 120

11:35am PDT

R's Role in Healthcare Data: Exploration, Visualization and Presentation SIEPR 120

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall

1:18pm PDT

Tools for Robust R Packages SIEPR 130

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall Simulation and power analysis of generalized linear mixed models Econ 140

1:54pm PDT

How to do one's taxes with R McCaw Hall The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:12pm PDT

brglm: Reduced-bias inference in generalized linear models Econ 140 Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm PDT

ALZCan: Predicting Future Onset of Alzheimer's Using Gender, Genetics, Cognitive Tests, CSF Biomarkers, and Resting State fMRI Brain Imaging Sponsor Pavilion Approaches to R education in Canadian universities Sponsor Pavilion Bayesian inference for Internet ratings data using R Sponsor Pavilion Data Quality Profiling - The First Step with New Data Sponsor Pavilion Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion Statistical assessment of the similarity of amino-acid sequences Sponsor Pavilion The markovchain R package Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall