The goal of the Infrastructure Steering Committee (ISC) is to support projects that, broadly construed, help the R community. This might be software development, developing new teaching materials, documenting best practices, promoting R to new audiences, standardising APIs or doing research.
Voting members of the consist of appointed individuals from Platinum and Gold members of the R Consortium, one individual elected to represent the Silver members of the R Consortium, and the project leads for each top level R Consortium ISC Project.
Current ISC Voting Members
R Studio (Chairperson)
Hadley is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland.
Hadley is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of
Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz.
Gabriela de Queiroz is a Data Scientist and the founder of R-Ladies, a world-wide organization for promoting diversity in the R community.
Gabriela de Queiroz is a Data Scientist and the founder of R-Ladies, a world-wide organization for promoting diversity in the R community. She likes to mentor and shares her knowledge through mentorship programs, tutorials and talks. She has worked in several startups and where she built teams, developed statistical models and employed a variety of techniques to derive insights and drive data-centric decisions. She holds 2 Master’s: one in Epidemiology and one in Statistics.
Gordon and Betty Moore Foundation
Chris Mentzel leads the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative.
Chris Mentzel leads the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative, a $60 million effort within the Science Program to enable data scientists to turn the scientific data deluge into opportunities to address some of today's most important research questions. Previously, Chris led the grants administration department and also worked as senior network engineer for the foundation. He has held positions as a systems engineer and integrator at the University of California, Berkeley, and at various Internet consulting firms in the Bay Area. An active member of the broader big data and open science communities, Chris serves on a number of advisory boards and program committees and speaks frequently at conferences and workshops on topics related to data-driven research. Chris received a B.A. in mathematics from the University of California, Santa Cruz, and an M.Sc. in management science and engineering at Stanford University.
University of Iowa
Aimée is the Practice Lead for Education at Mango Solutions. She has a PhD in Statistics from Lancaster University where she also completed her undergraduate and master’s degrees
Aimée is the Practice Lead for Education at Mango Solutions. She has a PhD in Statistics from Lancaster University where she also completed her undergraduate and master’s degrees. Aimée oversees training course development and has personally delivered training all over the world to hundreds of people on all aspects of R. When not busy with training, Aimée is engaged on consultancy projects, working with industry users of R, in companies ranging from Italian banks to US pharmaceutical companies.
Aimée speaks regularly at R user groups and conferences around the world, including UseR!, the RStudio Conference, EARL, eRum and Strata. Additionally, she is a member of the R Consortium Working Group focusing on R Certification. She is a co-author of Sam’s Teach Yourself R in 24 hours.
R-Hub Project Lead ( Non-voting observer )
R User Group Support Program ( Non-voting observer )
Joseph, RStudio’s “Ambassador at Large” to the R Community and editor of the R Views blog, has been focused on promoting the R language and supporting the R Community since he joined Revolution Analytics in 2009.
Joseph, RStudio’s “Ambassador at Large” to the R Community and editor of the R Views blog, has been focused on promoting the R language and supporting the R Community since he joined Revolution Analytics in 2009. In addition to serving on the R Consortium’s Board of Directors, he is a member of the ISC and administers the R User Group Support Program. In the past, Joseph held technical, marketing, and sales positions with several prominent Silicon Valley startups including, Sytek Inc., Alantec, Parallan Computer and Scotts Valley Instruments as well as with larger organizations including CSC, Agilent Technologies and Microsoft. Joseph is a member of the ASA, and a Life Member of the IEEE. He has experience working with standards committees including the IEEE 802.3 CSMA/CD Working Group and the IDEMA PRML technical committee. Joseph studied Classics and Mathematics as an undergraduate at Franklin & Marshall College and earned an M.A. in Humanities and an M.S. in Computational Statistics from the California State University. You can follow him on Twitter as @RStudioJoe.
R-Ladies Project Lead
Claudia is an environmental scientist and a member of the R-Ladies leadership team.
Claudia is an environmental scientist and a member of the R-Ladies leadership team. She holds a PhD in Hydrology from Imperial College London and works on forecasting natural hazards for the European Centre for Medium-range Weather Forecasts (ECMWF).
Prior to joining ECMWF, Claudia worked as researcher for Imperial College London (on environmental modelling, uncertainty estimation and web services development) and Brunel University London (on Big Data analytics for environment and health) as well as developer for various consultancies. She is an advocate of open source software, a passionate communicator and engaged in various outreach activities related to science and technology: from meetups to hackathons and kaggle competitions.
Working Groups are designed to support shared R&D activities for determining the best path or approach for a problem domain. Examples of current working groups include API design and testing infrastructure.
For activities that well defined and scoped, yet require funding to help bring to fruition, the ISC has established a grant fund. Twice yearly the ISC awards grants for projects such as code development, workshops, infrastructure, and other projects to help sustain the R community.
For community projects of importance to the R community and needing long term support by R Consortium, the project and ISC can consider the project for long term status. This gives the project guaranteed funding for 3 years, along with a voting seat on the ISC. Projects looking for this status will need to justify to the ISC why the project needs long term funding, as well as submit a 3 year plan and budget for consideration. Top level project get priority access to grant funds available.