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Tim Hagmann

Sanitas
Head of Customer & Market Analytics
Basel Area, Switzerland

I'm the head of customer and market analytics at Sanitas. My team and I are analyzing health care data from different sources such as wearables, the Sanitas Active App as well as further internal and external data sources. The goal is to find new actionable insights into our customers behaviour with various statistical, machine learning and data mining techniques.

I'm especially interested in exchanging ideas and/or experiences on the topics: distributed model building (R, Python and Spark) and the deployment of statistical models on the server side (Docker, R, Python, Spark).

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

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:30pm PDT

Introduction to SparkR (Part 2) Econ 140

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

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

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

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

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

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

When will this machine fail? SIEPR 120

5:21pm PDT

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

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

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

10:30am PDT

Profvis: Profiling tools for faster R code Econ 140

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

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

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

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

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R markdown: Lifesaver or death trap? McCaw Hall

1:18pm PDT

Tools for Robust R Packages SIEPR 130

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

1:54pm PDT

How to do one's taxes with R McCaw Hall

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break with Poster Session McCaw Hall

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

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

11:10am PDT

Event Detection with Social Media Data Econ 140

11:15am PDT

Convenient educational & psychological test reporting with the QME package & a Shiny UI Econ 140

11:25am PDT

Outlier Detection Methods Econ 140

11:26am PDT

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

11:30am PDT

gtfsr: A package to make transit system analysis easy Econ 140

11:35am PDT

Handling Huge Hierachical Data in R Econ 140

11:42am PDT

Most Likely Transformations McCaw Hall

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

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall