Greg Newby was born in Montreal, and moved to the New York metropolitan area
at the age of eight.  He is a naturalized American and native English
speaker, and retains Canadian citizenship.

Newby studied communication and psychology as an undergraduate, with
emphasis on mass media and individual human behavior and cognition.
He received a master of arts in organizational communication.  He then
took his long-time interests in computing and networking technologies
to an innovative program in information transfer, at Syracuse
University.  His Ph.D. has deep emphasis in four study areas: computer
science and information technologies; human communication; management;
and information science.  The outcome is that Newby has post-graduate
training and experience in social science and computer science.

After his Ph.D., Newby took a faculty position in the Graduate School
of Library and Information Science at the University of Illinois in
Urbana-Champaign.  He had a joint appointment as a senior research
scientist at the National Center for Supercomputing Applications.
Newby worked extensively to update the information technology
curriculum and technology education for students.  At UIUC, he founded
Prairienet, a public community computing system.  He was given
responsibility as Assistant Dean to develop a new technology-based
distance education MS degree option.  Then, from 1997-2003 Newby was
at the School of Information and Library Science at the University of
North Carolina in Chapel Hill.  Research there focused on information
retrieval, human-computer interaction, and new electronic media.  He
led the development and implementation of a new minor and a new major
in information science.

From 2003-2014, Dr. Newby was a research faculty member in the Arctic
Region Supercomputing Center (ARSC) at the University of Alaska
Fairbanks.  Research there has focused on data-intensive computing,
information retrieval and grids, federated search, data mining and
fusion, integration of large-scale systems, and manipulation and
presentation of massive collections of text.  He developed a number
of outreach campaigns, and led undergraduate and graduate intern
programs.  He was appointed Chief Scientist in 2007, then Director of 
ARSC in 2011.

As Director of ARSC, Newby had full oversight of up to 26 staff
members and faculty and a multi-million dollar annual budget.  He 
led scientific activities and guided the direction of the Center’s
computational science.  As a member of the UAF executive team, Newby
positioned ARSC services relative to the University and the State,
including large-scale computing, storage, outreach, and infrastructure
services.

In 2014, Newby departed UAF for the King Abdullah University of
Science and Technology (KAUST) in Thuwal, Saudi Arabia.  He is Manager
of the KAUST Supercomputing Laboratory (KSL), one of eight world-class
laboratories on the campus.  Activities there include leadership of
computationally based science and engineering at KAUST, working with
constituents from the Core Labs, Research Centers, and academic
divisions, as well as universities and industrial partners from the
Kingdom, the region, and internationally.  Newby is responsible for
KAUST's procurement of a new supercomputer, "Shaheen II," among
the fastest in the world.

Newby has long-term involvement in several other projects.  He is
standards editor of the Open Grid Forum (OGF).  Since 1991, Newby has
worked with Project Gutenberg to create and distribute free electronic
books.  In 2001, he took on the volunteer role as CEO of the Project
Gutenberg Literary Archive Foundation.  Since that time, he has led
Project Gutenberg in new collaborative work and new data types,
supervised personnel, sought and received funding, and worked to
increase the size of the Project Gutenberg collection to over 45000
eBooks.  Newby has written or edited 5 books and over 60 articles, and
has been the recipient of well over $10 million in research funding.
Newby’s overarching goal is to make information and information
systems more useable and accessible to all persons.