eScience – the techniques and technologies of data-driven discovery
I am the Founding Director of the
University of Washington eScience Institute,
whose goal is to advance the techniques and technologies of data-intensive discovery, and to diffuse them across the campus.
Technical foci of the eScience Institute include data management, data visualization,
machine learning, cloud computing, and others. Our support comes from the University of Washington,
the Gordon and Betty Moore Foundation, the Alfred P. Sloan Foundation, the Washington Research Foundation, the National Science Foundation, Microsoft, Google, Amazon, and others;
in November 2013 UW, UC Berkeley, and NYU became partners in
five-year, $37.8 million award from the Moore and Sloan Foundations
whose goal is to dramatically accelerate the growth of data-intensive discovery in a broad range of fields.
Data architecture for the Ocean Observatories Initiative
I am an Adjunct Professor in the University of Washington's world-renowned School of Oceanography. I have participated in various aspects of the NSF Ocean Observatories Initiative, which is deploying 1,000 km of fiber optic cable on the seafloor on the Juan de Fuca plate with the goal of transforming aspects of oceanography from an expeditionary to an observatory science. My late friend Jim Gray was an active participant in the early stages of this effort. My Ph.D. student Keith Grochow built a
novel visualization system
that played a role in this effort.
The Computing Community Consortium
I served from 2007-13 as Founding Chair of the
Computing Community Consortium,
an NSF-funded organization whose objective is to catalyze and empower the computing research community to pursue audacious, high-impact research.
In relation to this, I served as co-chair (with David E. Shaw) of the Working Group of the President's Council of Advisors on Science and Technology (PCAST) to review the
Federal Networking and Information Technology Research and Development (NITRD) Program.
Computer Systems and Networking
I participate in various activities of the Allen School's
computer systems and
networking research group.
Among my phenomenal systems students are
Hank Levy (Digital Equipment Corp. -> University of Washington),
John Bennett (Rice University -> University of Colorado),
Dave Wagner (University of Colorado -> Principia Consulting -> Google),
Brian Bershad (Carnegie Mellon University -> University of Washington -> Google, ret.),
Yi-Bing Lin (Bell Communications Research -> National Chiao Tung University),
Mark Squillante (IBM Research),
Tom Anderson (UC Berkeley -> University of Washington),
Cliff Neuman (USC Information Sciences Institute),
Ed Felten (Princeton University),
Chandu Thekkath (DEC Systems Research Center -> Microsoft Research),
Rob Bedichek (Transmeta -> AMD -> Apple),
Misha Rabinovich (AT&T Research -> Case Western Reserve University),
Jeff Chase (Duke University),
Dylan McNamee (Oregon Graduate Institute -> Galois),
Brian Pinkerton (A9),
Tapan Parikh (UC Berkeley -> Cornell Tech),
Sujay Parekh (IBM Research -> Bloomberg LP), and
Keith Grochow (National ICT Australia Ltd.).