Computing Systems for Data-Driven Science

 

The Center for Computing Systems for Data-Driven Science aims to explore the design, analysis and application of massive-scale computing systems for processing data, in the most general sense. The goal is to address the underlying systems aspects of Big Data—including data processing, storage and retrieval—which are central to some of the key research and societal challenges of the 21st Century.

The group is a nexus to connect (i) those who design and analyze high-performance computing systems for big data, and (ii) system users, from a variety of application areas. The former area includes researchers developing massively-parallel processors, energy-efficient hardware systems, distributed computing, software and databases, but also, in a broader view, those studying the brain. Several members are exploring and developing new parallel computing paradigms and architectures. The latter area includes those who need to process, store, retrieve, analyze and understand massive data sets, where computation and storage breakthroughs are essential. The goal is to have synergy and interaction between these two classes of researchers.

The group has a diverse set of members, working on systems research (computer science, electrical engineering, neuroscience) and application areas (oceanography, climate science, astronomy, physics, materials science, civil engineering, neuroscience, biomedical informatics and computational genomics). Many are working at the cutting edge of high-performance computing (HPC, i.e. scientific computing) and high-performance data analytics (HPDA, i.e. machine learning, pattern matching, and massive-scale search) applications. These two areas are recently melding, with key national initiatives to support both, and with data analytic techniques migrating into biological and physical computation problems.

In a simple view, most of science has become computational—many researchers need number crunching. But, in terms of application areas, this group is instead interested in problems where extreme-scale data processing is a central core of the research, and a critical bottleneck.

The Center for Computing Systems for Data-Driven Science aims to serve as the “thought leader,” and intellectual locus, at the university, for massive-scale systems research and applications.

COMMITTEE

CHAIR: Steven Nowick Columbia Engineering | Computer Science and Electrical Engineering
HPC Liaison: Kyle Mandli Columbia Engineering | Applied Physics and Applied Mathematics
Ryan Abernathey Arts and Sciences | Earth and Environmental Sciences and Earth Institute | Lamont-Doherty Earth Observatory
Greg Bryan Arts and Sciences | Astronomy
Qiang Du Columbia Engineering | Applied Physics and Applied Mathematics
Andrew Gelman Arts and Sciences | Statistics and Political Science
Daniel Hsu Columbia Engineering | Computer Science
Martha Kim Columbia Engineering | Computer Science
Kerstin Lehnert Earth Institute | Lamont-Doherty Earth Observatory
Robert Mawhinney Arts and Sciences | Physics
Paul Sajda Columbia Engineering | Biomedical Engineering and Electrical Engineering and Vagelos College of Physicians and Surgeons | Radiology
Gavin Schmidt Earth Institute | Center for Climate Systems Research and NASA Goddard Institute for Space Studies
Nicholas Tatonetti Vagelos College of Physicians and Surgeons | Biomedical Informatics, Systems Biology, and Medicine
Eugene Wu Columbia Engineering | Computer Science

AFFILIATED MEMBERS

Raimondo Betti Columbia Engineering | Civil Engineering and Engineering Mechanics
Daniel Bienstock Columbia Engineering | Industrial Engineering and Operations Research, and Applied Physics and Applied Mathematics
David Blei Arts and Sciences | Statistics and Columbia Engineering | Computer Science
Mark Cane Earth Institute | Lamont-Doherty Earth Observatory
Luca Carloni Columbia Engineering | Computer Science
Jiook Cha Vagelos School of Physicians and Surgeons | Psychiatry
Stephen Edwards Columbia Engineering | Computer Science
Stefano Fusi Vagelos School of Physicians and Surgeons | Neuroscience
Roxana Geambasu Columbia Engineering | Computer Science
Pierre Gentine Columbia Engineering | Earth and Environmental Engineering
Marco Giometto Columbia Engineering | Civil Engineering and Engineering Mechanics
Zoltan Haiman Arts and Sciences | Astronomy
Xiaofu He Vagelos School of Physicians and Surgeons | Psychiatry
Suman Jana Columbia Engineering | Computer Science
Kathryn Johnston Arts and Sciences | Astronomy
Gail Kaiser Columbia Engineering | Computer Science
Georgia Karagiorgi Arts and Sciences | Physics
David Keyes Columbia Engineering | Applied Physics and Applied Mathematics
David Knowles Columbia Engineering | Computer Science
Aurel Lazar Columbia Engineering | Electrical Engineering and Center for Neural Engineering and Computation
Jason Nieh Columbia Engineering | Computer Science
Baishakhi Ray Columbia Engineering | Computer Science
Kenneth Ross Columbia Engineering | Computer Science
Mingoo Seok Columbia Engineering | Electrical Engineering
Simha Sethumadhavan Columbia Engineering | Computer Science
Lorenzo Sironi Arts and Sciences | Astronomy
Clifford Stein Columbia Engineering | Industrial Engineering and Operations Research and Computer Science
Venkat Venkatasubramanian Columbia Engineering | Chemical Engineering
Carl Vondrick Columbia Engineering | Computer Science
Renata M. M. Wentzcovitch Columbia Engineering | Applied Physics and Applied Mathematics and Arts and Sciences | Earth and Environmental Sciences
Sebastian Will Arts and Sciences | Physics


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