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Bridget Toomey

Alteryx, Inc.
Content Engineer
Greater Denver Area

I work on bringing Predictive Analytics to the data analysts of the world. I'm passionate about combining my math background and teaching experience to open people's horizons. You should talk to me if you want to tell me about a cutting edge machine learning algorithm or if you have new ideas about making existing methods more accessible!

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

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

10:15am PDT

Coffee Break Lyons & Lodato

10:30am PDT

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

12:00pm PDT

Lunch Lyons & Lodato Lunch Barnes

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

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

5:20pm PDT

Discussion 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

edeaR: Extracting knowledge from process data Econ 140

10:48am PDT

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

11:06am PDT

R: The last line of defense against bad debt Econ 140

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

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

What can R learn from Julia Lane & Lyons & Lodato

1:54pm PDT

Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion Community detection in multiplex networks : An application to the C. elegans neural network Sponsor Pavilion Curde: Analytical curves detection Sponsor Pavilion High-performance R with FastR Sponsor Pavilion Imputing Gene Expression to Maximise Platform Compatibility Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion Multi-stage Decision Method To Generate Rules For Student Retention Sponsor Pavilion R Microplots in Tables with the latex() Function Sponsor Pavilion Sequence Analysis with Package TraMineR Sponsor Pavilion shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny Sponsor Pavilion Teaching statistics to medical students with R and OpenCPU Sponsor Pavilion Urban Mobility Modeling using R and Big Data from Mobile Phones Sponsor Pavilion Using R in the evaluation of psychological tests Sponsor Pavilion Visualization of health and population indicators within urban African populations using R Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:03pm PDT

'AF' a new package for estimating the attributable fraction McCaw Hall Inside the Rent Zestimates Barnes & McDowell & Cranston When will this machine fail? SIEPR 120

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

Rho: High Performance R McCaw Hall xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Helping R Stay in the Lead by Deploying Models with PFA SIEPR 120

6:30pm PDT

Welcome Reception Bing Concert 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

Importing modern data into R SIEPR 130 Predicting individual treatment effects Lane & Lyons & Lodato Empowering Business Users with Shiny SIEPR 120

10:35am PDT

Bespoke eStyle Statistical Training for Africa: challenges and opportunities of developing an online course SIEPR 120

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:45am PDT

MAVIS: Meta Analysis via Shiny SIEPR 120

10:48am PDT

ETL for medium data SIEPR 130 permuter: An R package for randomization inference Barnes & McDowell & Cranston

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

10:55am PDT

rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports SIEPR 120

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 On the emergence of R as a platform for emergency outbreak response McCaw Hall 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 Grid Computing in R with Easy Scalability Econ 140

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

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall Multivoxel Pattern Analysis of fMRI Data Lane & Lyons & Lodato

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

A spatial policy tool for cycling potential in England SIEPR 120 R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

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

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:12pm PDT

High performance climate downscaling in R SIEPR 120 Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Bayesian inference for Internet ratings data using R Sponsor Pavilion Developing R Tools for Energy Data Analysis Sponsor Pavilion Logistic modelling of increased antibacterial resistance with sales Sponsor Pavilion MethylMix 2.0: a bivariate Gaussian mixture model for identifying methylation driven genes Sponsor Pavilion

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data Econ 140

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

11:10am PDT

Event Detection with Social Media Data Econ 140

11:25am PDT

Outlier Detection Methods Econ 140

11:26am PDT

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

11:42am PDT

Most Likely Transformations 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

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall Thinking about Energy Markets with interactivity SIEPR 130

1:35pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall