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Monday 2nd November - Workshops, Registration and Welcome Network Reception

0900­-1000 hrs Registration and Morning Tea/Coffee
1000-1130 hrs WORKSHOP 1: Introduction to Rcpp
by Dirk Eddelbuettel

Sampson/Paul Suite
WORKSHOP 2: Current Best Practices in Formal Package Development
by Aimee Gott and Doug Ashton, Mango Solutions
Horace/Mann Suite
1130-1145 hrs Morning Break - Tea/Coffee served
1145-1300 hrs Workshop 1 continued Workshop 2 continued
1300-1400 hrs Registration and Afternoon Tea/Coffee
1400-1530 hrs WORKSHOP 3: Getting Started with Spark and R
by Mark Sellors, Mango Solutions

Sampson/Paul Suite
WORKSHOP 4: Interactive Reporting with R Markdown and Shiny
by Garrett Grolemund, RStudio

Horace/Mann Suite
1530-1600 hrs Afternoon Break - Tea/Coffee
1600-1700 hrs Workshop 3 continued Workshop 4 continued
1800-1900 hrs Registration in the NERD Center
1900 until late Welcome Evening Drinks and Network Reception.
Sponsored by:
Horace/Mann Suite

Tuesday 3rd November - Day 1 - NERD Suites

0830-0900 hrs Registration and Arrival Tea/Coffee
0900­-0910 hrs Opening and Welcome
Richard Pugh and Matt Aldridge, Mango Solutions
0910­-0955 hrs Opening Keynote 1
David Smith, Microsoft (Revolution Analytics)
0955-1040 hrs Opening Keynote 2
John Thompson, Dell
1040-1100 hrs Mid-Morning Refreshments Tea/Coffee
STREAM 2 - Sampson/Paul Suite STREAM 1 - Horace/Mann Suite
1100-1230 hrs Session 3 - Modelling
  • R in Market Research - Handling 'Wide' (not big) Data
    by Shad Thomas, Glass Box Research
  • Heuristic Methods for Real World Optimization
    by Brandon Bass, Altenex LLC
  • How to do Survival Analysis of Health Data in R
    by Monika Wahi, DethWench Professional Services
Session 2 - Applications
  • fbRads; Analyzing and Managing Facebook Ads from R
    by Gergely Daroczi,
  • Managing R with ValidR Enterprise
    by Kate Ross-Smith, Mango Solutions
  • Utilizing R-Shiny Server to Project IP and Disseminate Knowledge in a Global Organisation
    by Michael Conklin,, GFK
1230-1330 hrs Lunch
1330-1500 hrs Session 5 - Visualization
  • Predictive Models for Neglected Disease Drug Discovery: Built with R/Shared using Shiny
    by Paul Kowalczyk, Syngenta Biotechnology, Inc
  • Vizualizing Models
    by Jared Lander, Lander Analytics
  • Visualization and Sensitivity Analysis of PK/PD Models in R
    by Yan Li, Celgene
Session 4 - Business Challenges
  • Revenue Cycle Acceleration via Azure Machine Learning
    by Danielle Dean, Microsoft
  • Vectorisation Needed: Analysing Traffic to a Top 10 Website with R
    by Oliver Keyes, Wikimedia Foundation
  • Using R to Model Multi-Billion Dollar Mortgage Assets
    by Richard Pugh, Mango Solutions
1500-1530 hrs Afternoon Refreshments Tea/Coffee
1530-1700 hrs Session 7 - Workflow
  • Sharing Data between R and non R users
    by Aimee Gott, Mango Solutions
  • ´ü│Customizing R Machine Learning to Your Problem with Caret
    by Marcos Pereira, Millward Brown
  • Creating Rich Analytic Presentations with the RCloud Framework
    by Doug Ashton, Mango Solutions
Session 6 - Visualization
  • Rapidly Visualizing Scientific Data Optimized by Applications of R
    by Clive Higgins, Exaptive
  • R and Tableau: Data Science at the Speed of Thought
    by Tara Walker, Tableau Software
  • Mapping Census Data in R
    by Ari Lamstein
1700-1730 hrs R Consortium Forum Panel Discussion with Richard Pugh, Hadley Wickham, Lou Bajuk-Yorgan and David Smith
1930-2330 hrs Conference Evening Reception at the Boston Science Museum

Wednesday 4th November - Day 2 - NERD Suites

0830-0900 hrs Registration and Arrival Tea/Coffee
0900­-0950 hrs Day 2 Opening Keynote 1
Richard Pugh, Mango Solutions
0950-1040 hrs Day 2 Opening Keynote 2
Garrett Grolemund, RStudio
1040-1100 hrs Mid-Morning Refreshments Tea/Coffee
STREAM 2 - Sampson/Paul Suite STREAM 1 - Horace/Mann Suite
1100-1230 hrs Session 9 - Big Data
  • From Data to Decision Making: A Behind the Scenes Look at Building The Most Respected Report in Information Security
    by Bob Rudis, Verizon
  • New Possibilities with Spark and R
    by Vincent Warmerham, GoDataDriven
  • Identifying Key Opinion Leaders in Oncology Using R for Data Analytics and Visualization
    by Dag Holmboe, Klurig Analytics
Session 8 - Modelling
  • Measuring Brand Ad Effectiveness
    by Tim Hesterberg, Google
  • Performance Attribution for Equity Portfolios
    by Yang Lu, Hutchin Hill Capital
  • Using R and Bioconductor in Cancer Genetics and Precision Medicine
    by Aedin Culhane, Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health
1230-1330 hrs Lunch
1330-1500 hrs Session 11 - Business Challenges
  • Quantitative Portfolio Management with High Frequency Data
    by Jerzy Pawlowski, NYU Polytechnic School of Engineering
  • Garbage In, Garbage Out - Automating Data Quality
    by Robert Weyrauch
  • Is the customer always right? Yes, but some are more right than others
    by Josiah Davis
Session 10 - Applications
  • plumbr - An R package to trivially convert existing R code into web-accessible APIs
    by Jeff Allen, RStudio
  • Data Science Workbench for Integrated, Collaborative Analytics
    by Mark Sellors, Mango Solutions
  • AMP, Automated Monitoring of Phase 1 Studies
    by William S. Denney, Pfizer
1500-1530 hrs Afternoon Refreshments Tea/Coffee
1530-1730 hrs Session 13 - Commercial Applications
  • A declarative DSL for the plotly graphing library in R
    by Jack Parmer, Plotly
  • Deploying predictive models as APIs
    by Sean Lornez, Domino Data Labs
  • Predicting Student Success at Scale: APIs and DSLs for Building and Integrating Many Models
    by Harlan Harris, Educational Advisory Board
  • Scaling R for Real-world Business Analytics
    by Roger Fried, Teradata
Session 12 - Big Data and Performance
  • Taking R to New Levels of Scalability and Performance
    by Mark Hornick, Oracle
  • Integration of Distributed R and Vertica: A Powerful Setting for Big Data Analytics
    by Arash Fard, HP
  • Using R to Predict Financial Scores with Big Data Technologies in Emerging Markets
    by Nicolais Guevara, Cignifi
  • Applying R in Enterprise Applications
    by Lou Bajuk-Yorgan, TIBCO
1730-1745 hrs Conference Closing Remarks - Matt Aldridge and Richard Pugh, Mango Solutions

Please Note: Mango Business Solutions Ltd reserves the right to make any necessary changes to the agenda. Every effort will be made to keep presentations and speakers as represented. However, unforeseen circumstances may result in the substitutions of a presentation topic or speaker. Mango Business Solutions Ltd reserves the right to use photographs of attendees for future promotions. The total liability during the precise hours of the meeting will be limited to a refund of the delegate's fee. Audio, Video Taping and/or Photography is prohibited without the prior permission of Mango Business Solutions Ltd. Mango Business Solutions Ltd is not responsible for loss or damage to personal property.

The EARL Conferences are organised and hosted by:

We would like to thank all our sponsors and exhibitors:





Mango Solutions is a data science consulting company headquartered in the UK. With offices throughout the world we deliver tailored training, consulting and software. We assist our customers in harnessing the power of complex statistical analysis to support business critical decisions. For more information please visit +44 (0)1249 705 450.


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